69 results on '"condition indicators"'
Search Results
2. Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection.
- Author
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Jachymczyk, Urszula, Knap, Paweł, and Lalik, Krzysztof
- Subjects
- *
ARTIFICIAL neural networks , *FEATURE selection , *ARTIFICIAL intelligence , *WIND turbine blades , *DEEP learning - Abstract
In this study, a predictive maintenance (PdM) system focused on feature selection for the detection and classification of simulated defects in wind turbine blades has been developed. Traditional PdM systems often rely on numerous, broadly chosen diagnostic indicators derived from vibration data, yet many of these features offer little added value and may even degrade model performance. General feature selection methods might not be suitable for PdM solutions, as information regarding observed faults is often misinterpreted or lost. To address these issues, a structured feature selection method based on correlation analysis supplemented with comprehensive visual evaluation was proposed. Unlike generic dimensionality reduction techniques, this approach preserves critical domain-specific information and avoids misinterpretation of fault indicators. By applying the proposed method, it was possible to successfully filter out redundant features, enabling simpler machine learning (ML) models to match or even surpass the performance of more complex deep learning (DL) architectures. The best results were achieved by a deep neural network trained on the full dataset, with accuracy, precision, recall, and F1 score of 97.30%, 97.23%, 97.23%, and 97.23%, respectively, while the top-performing ML model (a voting classifier trained on the reduced dataset) attained scores of 97.13%, 96.99%, 96.95%, and 96.94%. The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. Although feature reduction did not similarly benefit the metrics for DL models, these findings highlight that well-chosen, domain-relevant condition indicators can streamline data input and deliver interpretable, cost-effective PdM solutions suitable for industrial applications. [ABSTRACT FROM AUTHOR]
- Published
- 2025
- Full Text
- View/download PDF
3. Identifying Condition Indicators for Artificially Intelligent Fault Classification in Rolling Element Bearings
- Author
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Jamil, Mohd Atif, Khanam, Sidra, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Tiwari, Rajiv, editor, Ram Mohan, Y. S., editor, Darpe, Ashish K., editor, Kumar, V. Arun, editor, and Tiwari, Mayank, editor
- Published
- 2023
- Full Text
- View/download PDF
4. Performance evaluation of three signal decomposition methods for bearing fault detection and classification.
- Author
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Mathur, Amit, Kumar, Pradeep, and Harsha, S. P.
- Abstract
In the present study, the performance evaluation of the signal decomposition methods; variational mode decomposition, empirical mode decomposition, and ensemble empirical mode decomposition, for the ball bearing fault detection and classification for the experimentally recorded vibration signals has been done. This work proposed a novel hybrid sensitive mode selection method combining three statistical measures (energy-based index, fault correlation-based index, and Hausdorff distance-based index) and investigating the effect of the selected sensitive mode extracted by the decomposition methods for the bearing defect frequency detection. The vibration data have been acquired for the healthy and seeded faults of different sizes for the inner and outer raceway defects. The complete features dataset comprises five time-domain, four spectral-domain, and two non-linear statistical features. The k-Nearest Neighbor, Support Vector Machine, and Naive Bayes classifiers are used for fault classification and predict the results with four performance metrics: accuracy, sensitivity, precision, and F-score. Firstly, the results of signal decomposition employing hybrid sensitive mode functions and statistical analysis of condition indicators (RMS, kurtosis and crest factor) revealed that the VMD outperforms the other two techniques. Secondly, the fault classification results predicted that the k-Nearest Neighbor classifier outperforms the other two classifiers. This proposed novel sensitive mode selection method significantly improves the bearing fault classification performance metrics with the features extracted from the selective mode functions with all three decomposition methods. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
5. A novel model-based Cauchy-Schwarz divergence condition indicator for gears monitoring during fluctuating speed conditions.
- Author
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Puerto-Santana, Cristian, Ocampo-Martinez, Carlos, and Diaz-Rozo, Javier
- Subjects
- *
INDUSTRIALISM , *SYSTEM identification , *FAULT diagnosis , *STATISTICAL measurement , *SIGNAL processing - Abstract
Gear monitoring and fault diagnosis are vital for preventing accidents and minimizing economic losses in transportation and industrial systems. Traditional methods use vibration sensors and a two-stage analysis approach: preprocessing data to remove noise and extract relevant components, and generating a condition indicator to detect behavioral anomalies in the gears over time. Time synchronous averaging is a notable tool for monitoring gears at constant speeds. Such a tool filters sensor signals and extracts rotation-related components by using statistical measurements as condition indicators. However, it has limitations in scenarios with time-varying sampling rates and fluctuating speeds, where statistical measures may not fully capture changes in system parameters. This article proposes a novel methodology for monitoring gears in multivariate rotordynamical systems under fluctuating speed conditions. The method integrates time synchronous averaging, system identification algorithms, and statistical tools. It generates a time-synchronous average signal considering speed fluctuations, computes a state–space model of gear behavior in healthy states, extracts residual data from a data-driven model, and generates a condition indicator based on the Cauchy–Schwarz divergence. The proposed methodology was evaluated using experimental data from three rotor dynamical setups under different operational conditions. Validation showed its effectiveness, especially under high-load conditions with significant speed fluctuations. • A novel methodology for gears monitoring spinning at fluctuating angular speed is proposed. • The proposed methodology is based on signal processing and system identification techniques. • A condition indicator for gear diagnosis based on Cauchy–Schwarz divergence is established. • Experimental validation was conducted using two rotodynamic setups. • The methodology is compared with existing methods in the literature. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
6. Fault Detection in Bevel Gear Using Condition Indicators
- Author
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Raghav, Mahendra Singh, Tiwari, Rahul, Sharma, Ram Bihari, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Rakesh, Pawan Kumar, editor, Sharma, Apurbba Kumar, editor, and Singh, Inderdeep, editor
- Published
- 2021
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7. Multifractal Analysis of the Common Crossing Track-Side Measurements
- Author
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Sysyn Mykola, Izvolt Libor, Nabochenko Olga, Kovalchuk Vitalii, Sestakova Janka, and Pentsak Andriy
- Subjects
railway common crossing ,track-side measurements ,condition indicators ,multifractal analysis ,lasso regularisation ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
The deterioration common crossing elements increase the need for the maintenance of crossings and significantly reduce the reliability, availability and safety of railway traffic. The present paper introduces the results of experimental investigation of common crossing monitoring while its deterioration during the lifecycle of crossing. The conventional methods of common crossing condition estimation with time-based features like maximal accelerations, etc. are low appropriate as statistically significant condition indicators. The proposed multifractal analysis enables to extract the significant features from acceleration measurements. The extracted features are fused together with information about the train velocities and longitudinal position of wheels impact with the Lasso regularisation and multivariate linear regression. A ranking of feature importance is done and the redundant features are identified. The developed condition indicator has good correlation to the crossing lifetime and is simple for interpretation.
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- 2019
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8. Review of fault detection techniques for health monitoring of helicopter gearbox
- Author
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Ogundare, Adebayo, Ojolo, Sunday, Mba, David, Duan, Fang, Kacprzyk, Janusz, Series editor, Bahei-El-Din, Yehia, editor, and Hassan, Maguid, editor
- Published
- 2017
- Full Text
- View/download PDF
9. Use of Cyclostationarity Based Condition Indicators for Gear Fault Diagnosis Under Fluctuating Speed Condition
- Author
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Sharma, Vikas, Parey, Anand, Haddar, Mohamed, Series editor, Bartelmus, Walter, Series editor, Chaari, Fakher, Series editor, Zimroz, Radoslaw, Series editor, Leskow, Jacek, editor, Napolitano, Antonio, editor, and Wylomanska, Agnieszka, editor
- Published
- 2017
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10. Real-time damage detection of degrading systems.
- Author
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Tripura, Tapas, Bhowmik, Basuraj, Pakrashi, Vikram, and Hazra, Budhaditya
- Subjects
CANONICAL correlation (Statistics) ,NUMERICAL integration ,STATISTICAL correlation ,LINEAR systems ,STRUCTURAL frames - Abstract
In this article, a robust output-only real-time damage detection technique for multi-degree-of-freedom degrading systems using recursive canonical correlation analysis is presented. It has been observed that the impact of damage to a vibrating system gradually advances with time that sustains until the system degrades up to a considerable extent. Of significant interest is the effect of sudden damage in presence of continuous degradation in real-time, which is studied in the form of a sudden stiffness reduction in a separate floor. The proposed recursive canonical correlation analysis algorithm estimates the iterative update of eigenspace at each instant from the response data, thereby capturing the features of a time varying degrading structure in an online framework. Furthermore, recursive canonical correlation analysis algorithm is shown to reduce the computational cost by updating the eigenspace at each instant of time. This article explores newly developed recursive condition indicators: recursive Mahalanobis distance and recursive Itakura distance that elicit damage information from the eigenspace. In order to model degradation, simulations aimed at successfully capturing the behavior of the process in real-time becomes imperative. A general stochastic formulation of the coupled response-degradation problem accounting for the evolution of degradation is presented in the light of stiffness degradation problems. The evolution of time varying system responses is generated using a newly proposed Ito–Taylor expansion-based stochastic numerical integration formulation. Numerically simulated structural vibrating systems, namely, 2-degree-of-freedom base-isolated and 4-degree-of-freedom linear systems, have been used to check the performance of the recursive canonical correlation analysis method. The spatial damage detectability of the algorithm in real-time is explored through identifying crack location on a beam traversed by a vehicle. Finally, an experimental case study has been carried out to verify the robustness of the proposed algorithm. The identification results for both numerical and experimental cases demonstrate the efficacy of the proposed algorithm in identification of nonlinear and time varying behavior associated with degrading structural systems. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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11. Failure Modeling of a Propulsion Subsystem: Unsupervised and Semi-Supervised Approaches to Anomaly Detection.
- Author
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Cheung, Catherine, Valdés, Julio J., Chavez, Richard Salas, and Sehgal, Srishti
- Subjects
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ANOMALY detection (Computer security) , *TURBOCHARGERS , *SUPPORT vector machines , *PROPULSION systems , *DIESEL motors - Abstract
In this work, the sensor data related to a diesel engine system and specifically its turbocharger subsystem were analyzed. An incident where the turbocharger seized was recorded by dozens of standard turbocharger-related sensors. By training models to distinguish between normal healthy operating conditions and deteriorated conditions, there is an opportunity to develop prognostic and predictive tools to ideally help prevent a similar occurrence in the future. Analysis of this event provides an opportunity to identify changes in equipment indicators with a known outcome. A number of data analysis tools were used to characterize the healthy and deteriorated states of the turbocharger system, including various supervised classification as well as semi-supervised and unsupervised anomaly detection techniques. The leader clustering algorithm was also implemented to reduce the amount of data to train and develop the models. This paper describes the results of this modeling process, validated by testing on healthy data from the same propulsion system and a second distinct one. Although this problem posed challenges due to the severely imbalanced class distribution, the supervised classifiers, in particular Support Vector Machine (SVM) and Random Forest (RF), performed very well in all metrics while the unsupervised anomaly detection models achieved near-perfect accuracy for identifying healthy turbocharger states. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
12. Monitoring Stoneworts Chara spp. at Bosherston Lakes
- Author
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Haycock, Bob, Hinton, George, Hurford, Clive, editor, Schneider, Michael, editor, and Cowx, Ian, editor
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- 2010
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13. Conservation Monitoring in Freshwater Habitats: An Introduction
- Author
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Hurford, Clive, Hurford, Clive, editor, Schneider, Michael, editor, and Cowx, Ian, editor
- Published
- 2010
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14. Using vegetation dynamics to face the challenge of the conservation status assessment in semi-natural habitats.
- Author
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Carli, Emanuela, Giarrizzo, Eleonora, Burrascano, Sabina, Alós, Marta, Del Vico, Eva, Di Marzio, Piera, Facioni, Laura, Giancola, Carmen, Mollo, Barbara, Paura, Bruno, Salerno, Giovanni, Zavattero, Laura, and Blasi, Carlo
- Abstract
The conservation of semi-natural habitats represents a primary challenge for European nature conservation due to their great species diversity and their vulnerability to ongoing massive land-use changes. As these changes rapidly transform and phase out semi-natural habitats, conservation measures should be prompt and specifically focused on a sound assessment of the degree of conservation. Here we develop a methodological strategy for the assessment of the degree of conservation of semi-natural grasslands based on well-defined criteria rather than on expert opinion. Through mixed effect models, we tested ten potential indicators, encompassing proxies of species composition, habitat structure, and landscape patterns, against a measure of compositional change from habitat favourable condition, i.e., an inverse proxy of conservation status. This measure derives from the re-visitation of 132 sampling units historically sampled between 1966 and 1992 along the Apennines. The compositional change was quantified as the dissimilarity between historical habitat species pools and the composition of current communities. The compositional change was significantly related to the number of habitat diagnostic species and the relative cover of woody species with opposite sign (positive and negative, respectively). We classified and combined the classes of these two indicators in each sampling unit to assess the habitat degree of conservation at the plot and at the Natura 2000 site level. At the plot level, our assessment was in good agreement with the occurrence of species of conservation concern. On the other hand, at the site level, our assessment was not always harmonic with the habitat conservation assessment officially reported for the site investigated. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
15. The biodiversity impacts of non-native species should not be extrapolated from biased single-species studies.
- Author
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Guerin, Greg R., Martín-Forés, Irene, Sparrow, Ben, and Lowe, Andrew J.
- Subjects
INTRODUCED plants ,BIODIVERSITY ,INTRODUCED species ,WEEDS ,PUBLICATION bias ,EXTRAPOLATION - Abstract
The presence, diversity and abundance of non-native plant species in natural vegetation are common condition indicators used to determine conservation status, with consequences for management strategies and investment. The rationale behind non-native species metrics as condition indicators is the assumption that non-natives have negative consequences on native biodiversity and habitat condition. The case against non-native species is not so clear-cut, with some studies reporting neutral or even facilitative interactions, often depending on spatial scale. Observational and experimental evaluations of the impact of particular non-native species on biodiversity provide a vital evidence-base for general conservation management strategies. Unintentionally though, many studies that quantify the impacts of non-native species have resulted in a publication bias in which species with known impacts are selected for investigation far more often than benign species. Here we argue that meta-analyses of the impacts of individual non-native species on natives, no matter how meticulous or objective, should not be generalized beyond the set of ‘training’ species. The likelihood of such extrapolation is increased when meta-analyses are reported with little qualification as to the skewed sampling towards problematic species, and because alternative findings such as non-native assemblages having positive interactions with native biodiversity, are under-reported. To illustrate, we discuss two meta-analyses that make general conclusions from impact studies skewed towards ‘transformers’, the most extreme invaders. We warn that if generic non-native species management strategies were to be based on these conclusions, they could not only fail to meet objectives but in some instances harm native biodiversity. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
16. Redefinition and elaboration of river ecosystem health: perspective for river management
- Author
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Vugteveen, P., Leuven, R. S. E. W., Huijbregts, M. A. J., Lenders, H. J. R., Martens, K., editor, Leuven, R. S. E. W., editor, Ragas, A. M. J., editor, Smits, A. J. M., editor, and van der Velde, G., editor
- Published
- 2006
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- View/download PDF
17. Linking ecosystem condition and ecosystem services: A methodological approach applied to European agroecosystems
- Author
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Rendon, Paula, Steinhoff-Knopp, Bastian, Burkhard, Benjamin, Rendon, Paula, Steinhoff-Knopp, Bastian, and Burkhard, Benjamin
- Abstract
Agriculture has been identified as one of the main drivers of environmental degradation in the European Union (EU). It can have negative impacts on air, water, soil and biodiversity. The condition of agroecosystems is affected by soil degradation, especially by soil erosion, which reduces agroecosystems' capacity to provide essential ecosystem services. Therefore, it is necessary to explore synergies and trade-offs between pressures, ecosystem condition and services to create relevant information for policy and decision-makers to implement sustainable response actions. As part of the EU environmental policy, the Mapping and Assessment of Ecosystems and their Services (MAES) Working Group developed appropriate concepts to assess and link ecosystem condition and services. This study aims to test the indicators proposed by MAES to assess ecosystem condition and link it with the ecosystem services provision. For this, we applied a suggested operational framework developed in the context of the Biodiversity Strategies 2020 and 2030 for the integrated assessment of agroecosystems and regulating ecosystem service control of erosion rates supply at European scale. We quantified and mapped indicators for ecosystem condition, environmental and anthropogenic pressures and soil erosion control. We explored the relationships between the respective indicators and the capacity of agroecosystems to control soil erosion across the different Environmental Zones (EZ). Our results indicate that, in general, European agroecosystems have a high capacity to control soil erosion with some variations within the EZ. Supply capacity is positively, negatively and not correlated with the various pressure and condition indicators. Management and climate indicators play a significant role in the assessment of this service. These results highlight that conservational management practices are fundamental to reduce soil loss and improve agroecosystem condition. However, the design and implementation
- Published
- 2022
18. Fault detection of gearboxes using synchro-squeezing transform.
- Author
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Hazra, B., Sadhu, A., and Narasimhan, S.
- Subjects
- *
GEARBOXES , *FAILURE analysis , *VIBRATION (Mechanics) , *WAVELET transforms , *MECHANICAL failures , *TIME-frequency analysis , *HILBERT transform - Abstract
This paper presents a novel fault detection method for gearbox vibration signatures using the synchro-squeezing transform (SST). Premised upon the concept of time-frequency (TF) reassignment, the SST provides a sharp representation of signals in the TF plane compared to many popular TF methods. Additionally, it can also extract the individual components, called intrinsic mode functions or IMFs, of a nonstationary multi-component signal, akin to empirical mode decomposition. The rich mathematical structure based on the continuous wavelet transform makes synchro-squeezing a promising candidate for gearbox diagnosis, as such signals are frequently constituted out of multiple amplitude and frequency modulated signals embedded in noise. This work utilizes the decomposing power of the SST to extract the IMFs from gearbox signals, followed by the application of both condition indicators and fault detection to gearbox vibration data. For robust detection of faults in gear-motors, a fault detection technique based on time-varying auto-regressive coefficients of IMFs as features is utilized. The sequential Karhunen–Loeve transform is employed on the condition indicators to select the appropriate window sizes on which the SST can be applied. This approach promises improved fault detection capability compared to applying condition indicators directly to the raw data. Laboratory experimental data obtained from a drivetrain diagnostics simulator and seeded fault tests from a helicopter gearbox provide test beds to demonstrate the robustness of the proposed algorithm. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
19. Gearbox fault diagnosis using RMS based probability density function and entropy measures for fluctuating speed conditions.
- Author
-
Sharma, Vikas and Parey, Anand
- Subjects
GEARBOXES ,FAULT diagnosis ,DYNAMIC testing ,PROBABILITY density function ,PROBABILITY in quantum mechanics - Abstract
Fault diagnosis of gearbox which operates on low rotating speed with high fluctuations is highly important because its ignorance can led to a catastrophe. The uncertainty within the vibration signal of the gearbox can be identified by the entropy measures, on the basis of probability density function of a signal. But, under fluctuating speeds, entropies may show insignificant results, hence making them non-reliable. The aim of this article is to develop a reliable and stable technique for gear fault detection under such fluctuating speeds. Therefore, a root mean square-based probability density function is proposed to improve the efficiency of entropy measures. The fault detection capabilities of proposed technique were demonstrated experimentally. Various entropy measures, namely, Shannon entropy, Rényi entropy, approximate entropy, and sample entropy, were compared as well as evaluated for both Gaussian and proposed probability density function. The proposed technique was further validated using two condition indicators based on amplitude of probability density function. Results suggest the effective fault diagnosis using proposed method. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
20. Condition Indicators for Centrifugal Compressor - A Review.
- Author
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Xiaoxia Liang, Duan, Fang, Mba, David, and Ian, Bennett
- Subjects
CENTRIFUGAL compressors ,ACOUSTIC emission ,VIBRATION (Mechanics) ,ROTATING machinery ,FOULING - Abstract
Centrifugal compressors have been widely applied and acted as a crucial component in gas and oil industries, due to their excellent performance in providing high pressure ratios, large operating ranges with relatively high efficiencies etc. Breakdowns or deteriorated performance can bring significant economic loss to the companies. Given the hnportance and the crucial role played by these machines, monitoring their status and performing fault diagnosis have become increasingly important. This paper provides a systematical review of condition monitoring and fault diagnosis techniques for centrifugal compressor. Some unique fault types of centrifugal compressors are also investigated, like stall, surge, fouling and impeller fault, which are not usually seen on other rotating machinery. In terms of fault diagnosis, condition indicators which are calculated from multiple signals, can effectively reflect the health status of the machinery. This paper reviewed the common faults and the related state-of-the-art fault diagnostic techniques of a centrifugal compressor. Some condition indicators that are extracted from performance, vibration, acoustic emission and other measurements for centrifugal compressor incipient diagnosis are recommended. Furthermore, several currently used machinery fault diagnostic systems for the centrifugal compressor are investigated. [ABSTRACT FROM AUTHOR]
- Published
- 2017
21. A conceptual framework and practical structure for implementing ecosystem condition accounts
- Author
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Emily Nicholson, Bálint Czúcz, Bethanna Jackson, Joachim Maes, Amanda Driver, and Heather Keith
- Subjects
0106 biological sciences ,Structure (mathematical logic) ,ecosy ,Ecology ,business.industry ,condition indicators ,Environmental resource management ,ecosystem accounting ,Ecosystem integrity ,010501 environmental sciences ,reference condition ,010603 evolutionary biology ,01 natural sciences ,ecosystem integrity ,System of Environmental-Economic Accounting ,Conceptual framework ,lcsh:QH540-549.5 ,Earth and Planetary Sciences (miscellaneous) ,Environmental science ,Ecosystem ,lcsh:Ecology ,business ,0105 earth and related environmental sciences ,Nature and Landscape Conservation - Abstract
Ecosystem condition is a fundamental component in the ecosystem accounting framework as part of the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA). Here, we develop a conceptual framework and present a practical structure for implementing ecosystem condition accounts to contribute to the revision process of the SEEA EEA, focussing on six core elements: (1) developing a common definition of ecosystem condition, (2) establishing a conceptual framing for ecosystem condition, (3) portraying the role of condition within the SEEA EEA accounting system, (4) deriving an inclusive multi-purpose approach, (5) describing the components of condition accounts and (6) developing a three-stage structure for reporting accounts. We develop a conceptual framework for an inclusive condition account, building on an ecological understanding of ecosystems upon which definitions, concepts, classifications and reporting structures were based. The framework encompasses the dual perspectives of first, the interdependencies of ecosystem composition, structure and function in maintaining ecosystem integrity and second, the capacity of ecosystems to supply services as benefits for humans. The following components of ecosystem condition accounts are recommended to provide comprehensive, consistent, repeatable and transparent accounts: (1) intrinsic and instrumental values, together with ecocentric and anthropocentric worldviews; (2) a formal typology or classification of characteristics, variables and indicators, based on selection criteria; (3) a reference condition used both to compare past, current and future levels of indicators of condition and as a basis for aggregation of indicators; and (4) a three-stage approach to compiling accounts with increasing levels of information and complexity that are appropriate for different purposes and applications. The recommended broad and inclusive scope of ecosystem condition and the demonstrated practical methods for implementation of accounts will enhance the ecosystem accounting framework and thus support a wider range of current and potential applications and users.
- Published
- 2020
22. Linking ecosystem condition and ecosystem services: A methodological approach applied to European agroecosystems
- Author
-
Bastian Steinhoff-Knopp, Benjamin Burkhard, and Paula Rendon
- Subjects
Geography, Planning and Development ,Biodiversity ,Context (language use) ,Management, Monitoring, Policy and Law ,Ecosystem status ,Ecosystem services ,Soil retrogression and degradation ,Erosion control ,Agricultural soils ,media_common.cataloged_instance ,Ecosystem ,European union ,Environmental degradation ,Dewey Decimal Classification::300 | Sozialwissenschaften, Soziologie, Anthropologie::330 | Wirtschaft::333 | Boden- und Energiewirtschaft::333,7 | Natürliche Ressourcen, Energie und Umwelt ,Nature and Landscape Conservation ,media_common ,Global and Planetary Change ,Ecology ,business.industry ,European Biodiversity Strategy ,Environmental resource management ,Agricultural and Biological Sciences (miscellaneous) ,Condition indicators ,Agriculture ,Environmental science ,ddc:333.7 ,business ,ddc:333,7 ,MAES ,Pressures - Abstract
Agriculture has been identified as one of the main drivers of environmental degradation in the European Union (EU). It can have negative impacts on air, water, soil and biodiversity. The condition of agroecosystems is affected by soil degradation, especially by soil erosion, which reduces agroecosystems' capacity to provide essential ecosystem services. Therefore, it is necessary to explore synergies and trade-offs between pressures, ecosystem condition and services to create relevant information for policy and decision-makers to implement sustainable response actions. As part of the EU environmental policy, the Mapping and Assessment of Ecosystems and their Services (MAES) Working Group developed appropriate concepts to assess and link ecosystem condition and services. This study aims to test the indicators proposed by MAES to assess ecosystem condition and link it with the ecosystem services provision. For this, we applied a suggested operational framework developed in the context of the Biodiversity Strategies 2020 and 2030 for the integrated assessment of agroecosystems and regulating ecosystem service control of erosion rates supply at European scale. We quantified and mapped indicators for ecosystem condition, environmental and anthropogenic pressures and soil erosion control. We explored the relationships between the respective indicators and the capacity of agroecosystems to control soil erosion across the different Environmental Zones (EZ). Our results indicate that, in general, European agroecosystems have a high capacity to control soil erosion with some variations within the EZ. Supply capacity is positively, negatively and not correlated with the various pressure and condition indicators. Management and climate indicators play a significant role in the assessment of this service. These results highlight that conservational management practices are fundamental to reduce soil loss and improve agroecosystem condition. However, the design and implementation of such management practices must consider regional and local landscape characteristics, agricultural practices and the needs and opportunities of stakeholders. © 2021 The Author(s)
- Published
- 2022
- Full Text
- View/download PDF
23. Gear crack detection using modified TSA and proposed fault indicators for fluctuating speed conditions.
- Author
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Sharma, Vikas and Parey, Anand
- Subjects
- *
GEARBOXES , *FAULT diagnosis , *VIBRATION (Mechanics) , *FAULT indicators , *POWER transmission - Abstract
Fault diagnosis of gearbox at an early stage is very important to avoid catastrophic failures. Condition indicators (CI) are used to quantify the level of vibration generated by the defected gears. A comprehensive comparison of various CIs, i.e., RMS, kurtosis, crest factor, FM0, FM4, M6A, NB4, energy ratio, NA4, energy operator and two new proposed condition indicators (PS-I and PS-II), have been performed for no crack, initial crack and advanced crack for different fluctuating profiles of input speed. This comparative analysis shows the responsiveness of indicators towards crack detection. Limited speed fluctuations and instantaneous high speed fluctuations are considered. Results suggest that newly proposed condition indicators are more robust, stable and effective towards crack detection under fluctuating profiles of speed. A modified time synchronous averaging (MTSA) is also proposed to increase signal-to-noise ratio (SNR). [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
24. A Review of Gear Fault Diagnosis Using Various Condition Indicators.
- Author
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Sharma, Vikas and Parey, Anand
- Subjects
GEARING machinery ,FAULT diagnosis ,MONITORING of machinery ,SIGNAL processing ,DYNAMIC testing ,GEARBOXES - Abstract
Plentiful work has been done for condition monitoring (CI) and fault diagnosis of fixed-axis gearboxes. However, still it is found that articles citing condition indicators for fault diagnosis of gearboxes are less in quantity, in academic journals, conference proceedings and technical reports. The specialty of condition indicators is to provide accurate information regarding the condition of various components at different levels of damage (initial, heavy or growing). Here, these indicators are addressed domain-wise and their characteristics are stated. The objective of this paper is to review and encapsulate this literature to provide a wide and good reference for researchers to be utilized. The structure of a fixed-axis gearbox is briefly introduced. The unique behaviors and fault characteristics of fixed-axis gearbox is recognized and studied. Investigations on the basis of statistical indicators are also summarized based on the adopted methodologies. Lastly, open problems are stated and further research prospects pointed out. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
25. Multifractal Analysis of the Common Crossing Track-Side Measurements
- Author
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Olga Nabochenko, Vitalii Kovalchuk, Libor Izvolt, Andriy Pentsak, Mykola Sysyn, and Janka Šestáková
- Subjects
0209 industrial biotechnology ,track-side measurements ,Environmental Engineering ,Computer science ,condition indicators ,02 engineering and technology ,Multifractal system ,Track (rail transport) ,lasso regularisation ,Data science ,020303 mechanical engineering & transports ,020901 industrial engineering & automation ,0203 mechanical engineering ,lcsh:TA1-2040 ,multifractal analysis ,railway common crossing ,Business management ,lcsh:Engineering (General). Civil engineering (General) ,Civil and Structural Engineering - Abstract
The deterioration common crossing elements increase the need for the maintenance of crossings and significantly reduce the reliability, availability and safety of railway traffic. The present paper introduces the results of experimental investigation of common crossing monitoring while its deterioration during the lifecycle of crossing. The conventional methods of common crossing condition estimation with time-based features like maximal accelerations, etc. are low appropriate as statistically significant condition indicators. The proposed multifractal analysis enables to extract the significant features from acceleration measurements. The extracted features are fused together with information about the train velocities and longitudinal position of wheels impact with the Lasso regularisation and multivariate linear regression. A ranking of feature importance is done and the redundant features are identified. The developed condition indicator has good correlation to the crossing lifetime and is simple for interpretation.
- Published
- 2019
26. Modelo determinístico basado en indicadores de condición para evaluación de sistemas de aislación de bobinados estatóricos de generadores eléctricos
- Author
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Armando Manuel Mazzoletti, Mario Orlando Oliveira, Ricardo Guillermo Aguilar, Fausto Britez, Adrian Esteban Barberan, and O. E. Perrone
- Subjects
Hidrogeneradores ,Modelo determinístico ,Hydrogenerators ,Gestión de activos ,purl.org/becyt/ford/2.2 [https] ,Bobinado estatórico ,Maintenance operations ,Condition indicators ,purl.org/becyt/ford/2 [https] ,Asset management ,Insulation of the windings ,Dielectric tests ,General Earth and Planetary Sciences ,Environmental science ,Ensayos dieléctricos ,Indicadores de condición ,Operaciones de mantenimiento ,Sistema de aislación estatórico ,Stator windings ,Deterministic model ,General Environmental Science - Abstract
Fil: Barberán, Esteban Adrian. Universidad Nacional de Misiones. Facultad de Ingeniería; Argentina. Fil: Perrone, Oscar Eduardo. Universidad Nacional de Misiones. Facultad de Ingeniería. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Perrone, Oscar Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Mazzoletti, Manuel Armando. Universidad Nacional de Misiones. Facultad de Ingeniería. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Mazzoletti, Manuel Armando. Consejo Nacional de Investigaciones Científicas y Técnicas. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Britez, Fausto. Universidad Nacional de Misiones. Facultad de Ingeniería; Argentina. Fil: Aguilar, Ricardo Gabriel. Universidad Nacional de Misiones. Facultad de Ingeniería. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Aguilar, Ricardo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Oliveira, Mario Orlando. Universidad Nacional de Misiones. Facultad de Ingeniería. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Fil: Oliveira, Mario Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Laboratorio de Investigación y Desarrollo en Energía Eléctrica; Argentina. Este trabajo propone un modelo determinístico para evaluar el estado de condición del Sistema de Aislación del Bobinado Estatórico (SABE) de generadores eléctricos de gran potencia. El modelo propuesto integra diferentes Indicadores de Condición (IC) con el fin de establecer un orden de prioridad de intervención en hidrogeneradores. Con el objetivo de mejorar la planificación de gestión de activos y, de manera particular, programar las tareas de mantenimiento relacionadas con el SABE, un Gestor de Ensayos (GE) para máquinas eléctricas rotativas fue desarrollado en el entorno NI LabView. El GE permite visualizar y comparar los registros históricos de mediciones eléctricas con los límites establecidos por las normas de referencias. Además, posibilita registrar, almacenar y gestionar información de ensayos dieléctricos off-line e inspecciones visuales. A partir del procesamiento de los datos registrados, el GE calcula un único IC para determinar el estado general del SABE. Los resultados obtenidos muestran que el modelo propuesto permite evaluar el estado general del sistema de aislación de los bobinados estatóricos tomando como referencia 8 hidrogeneradores y considerando 14 indicadores de condición. This paper proposes a deterministic model to evaluate the insulation system condition of the stator windings for power electric generators. The proposed model integrates different Condition Indicators in order to establish a priority order of intervention in hydrogenerators. With the aim of improving the planning of asset management and, in particular, the scheduled maintenance tasks related to the stator winding insulation system, a Testing Manager for rotating electrical machines was developed in the environment NI LabView. The Testing Manager allows to visualize and compare the historical records of electric measurements with the limits established by the reference standards. In addition, it makes it possible to manage, record and store off-line dielectric tests data and the visual inspection. From the data processing of the registration electric measurements, the Testing Manager calculates a single condition indicator to determine the general condition of the stator insulation system. The results obtained show that the proposed model allows to evaluate the insulation system state of the with reference to 8 hydrogenerators and considering 14 condition indicators.
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- 2019
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27. An open architecture for enabling CBM/PHM capabilities in ground vehicles.
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Das, Sreerupa, Hall, Richard, Patel, Amar, McNamara, Steve, and Todd, Jonathan
- Abstract
This paper describes a comprehensive, open and extensible architecture for a Ground Vehicle Health and Usage Monitoring System (GV-HUMS) that enables both Condition Based Maintenance (CBM) and Prognostics and Health Management (PHM) in vehicles. The on-board software provides near real time diagnostic and prognostic analysis in addition to gathering sensor data for off-board data mining. The CBM and PHM capabilities are provided as services and can be incrementally refined and expanded over time as the system collects more data without requiring an on-board software refresh in the system. The off-board software component allows for efficient data collection, data management, enables data mining, development and refinement of PHM and CBM capabilities and efficient collection of maintenance and fault data. The GV-HUMS system is modular and can be easily adapted to provide diagnostic and prognostic analysis for other vehicles on ground, water or air. This paper will provide a high level overview of the architecture, the incremental design approach, and current status of the system. [ABSTRACT FROM PUBLISHER]
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- 2012
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28. Signal processing techniques to improve acoustic emission sensing.
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Bechhoefer, Eric, Yongzhi Qub, and Heb, David
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SIGNAL processing ,ACOUSTIC emission ,STRESS waves ,ACOUSTIC signal detection ,DEMODULATION ,HETERODYNE detection - Abstract
Acoustic Emissions (AE) are stress waves produced by the sudden internal stress redistribution of material caused by changes in the internal structure of the material. Possible causes of these changes are crack initiation and growth, crack opening/closure, or pitting in monolithic materials (gear/ bearing material). Whereas vibration can measure the effect of damage, AE is a direct measure of damage. Unfortunately, AE methodologies suffer from the need of high sample rates (4 to 10 Msps) and relatively immature algorithms for condition indictors (CI). This paper hypothesizes that the AE signature is the result of some forcing function (e.g. periodic motion in the case of rotating machinery). As such, by demodulating the AE signature, one can reconstruct the information carried by the AE signature and provide improved diagnostics. As most on-line condition monitoring systems are embedded system, both analog and digital signal processing techniques are proposed which reduce the effective sample rate needed to operate on the AE signal to those similarly found in traditional vibration processing systems. This hypothesis is tested on a split torque gearbox and results are presented. [ABSTRACT FROM AUTHOR]
- Published
- 2014
29. Rotating machinery diagnosis using synchro-squeezing transform based condition indicators.
- Author
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Hazra, Budhaditya and Narasimhan, Sriram
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ROTATING machinery ,MONITORING of machinery ,MACHINE bearing maintenance & repair ,TIME-frequency analysis ,WAVELET transforms ,MAINTENANCE - Abstract
A powerful signal decomposition tool named Synchro-squeezing transform (SST) has recently emerged in the context of non-stationary signal processing. Founded upon the premise of time-frequency (TF) reassignment, its basic objective is to provide a sharper representation of signals in the TF plane. Additionally it can also extract the individual components of a non-stationary multi-component signal, akin to empirical mode decomposition (EMD). The rich mathematical structure based on continuous wavelet transform (CWT) makes SST attractive for rotating machinery diagnosis, through which multiple amplitude-modulated and frequency-modulated signals embedded in noise can be extracted. This work utilizes the decomposing power of synchro-squeezing transform to extract the IMFs from gear and bearing signals, followed by the application of standard rotating machinery condition indicators. This approach promises improved prognostic power than that can be achieved by applying condition indicators directly to the inherently complex data. The efficacy and the robustness of the algorithm are demonstrated with the aid of practical experimental data obtained front a helicopter gearbox test facility in Trenton, New Jersey, and also from seeded bearing fault tests, called the helicopter integrated diagnostic system (HIDS), carried out using an iron bird test stand (SH-60) at Naval Air Warfare Center (NAWC)-Trenton, and SH-60B/F flight vehicles at NAWC-patuxent river. [ABSTRACT FROM AUTHOR]
- Published
- 2014
30. CIGRE JWG A3.43 progress report “Tools for lifecycle management of T&D switchgear based on data from condition monitoring systems'
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Gariboldi, Nicola, Mantilla, Javier, Catanese, Dan, Poirier, Sébastien, Pater, Ryszard, Herrera, Alexander, Nenning, Andreas, Westerlund, Per, Gariboldi, Nicola, Mantilla, Javier, Catanese, Dan, Poirier, Sébastien, Pater, Ryszard, Herrera, Alexander, Nenning, Andreas, and Westerlund, Per
- Abstract
In March 2019 the joint working group A3.43 "Tools for lifecycle management of T&D switchgear based on data from condition monitoring systems" started its activities with the goal to provide inside three years a guide on how to use the data from monitoring activities of switchgear. The working group counts presently 34 members, from 17 different countries met already five times and work is ongoing on the main Technical Brochure (TB) structure as follows: 1. Executive summary 2. Introduction 3. Literature Review 4. Condition indicators of T&D switchgear 5. Tools and Criteria for lifecycle management and Switchgear Health Index 6. Compliance with digital substation for data management 7. User’s experiences of end-of-life of T&D switchgear: survey, case studies and interviews 8. Future needs and trends A literature review offers a glimpse into state of the art tools and techniques for lifecycle management and the equipment used. A very steep increase of publications on this matter is observed in the last years with implications in other aspects beyond lifecycle management. Second, the condition indicators as determined in the TB737 are taken over and used in this work as proxies for the switchgear variables evaluation. The main part of the work concentrates on the tools and techniques their framework established. The works from other WG’s on substation level on B3 study committees are introduced as an organic part of the activities. A fundamental decision has been made to follow Health Index concepts as defined in B3.48 concentrating on providing valuable inputs specifically for switchgear. The main focus is on Tools and Criteria for lifecycle management for which the target is to propose models which can condense the specific and deep knowledge of the members to arrive to an advanced and reliable assessment. Some concrete examples are planned to act as guidelines on how to apply the theory to real life scenarios. The digitization of substation equipm, QC 20201216, SweGRIDS
- Published
- 2020
31. A conceptual framework and practical structure for implementing ecosystem condition accounts
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Keith, Heather, Czúcz, Bálint, Jackson, Bethanna, Driver, Amanda, Nicholson, Emily, Maes, Joachim, Keith, Heather, Czúcz, Bálint, Jackson, Bethanna, Driver, Amanda, Nicholson, Emily, and Maes, Joachim
- Published
- 2020
32. Condition Indicators for Gearbox Condition Monitoring Systems
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P. Večeř, M. Kreidl, and R. Šmíd
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damage detection ,condition monitoring ,condition indicators ,transmissions ,vibration ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Condition monitoring systems for manual transmissions based on vibration diagnostics are widely applied in industry. The systems deal with various condition indicators, most of which are focused on a specific type of gearbox fault. Frequently used condition indicators (CIs) are described in this paper. The ability of a selected condition indicator to describe the degree of gearing wear was tested using vibration signals acquired during durability testing of manual transmission with helical gears.
- Published
- 2005
33. Stochastic modeling of damage physics for mechanical component prognostics using condition indicators.
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He, David, Li, Ruoyu, and Bechhoefer, Eric
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MECHANICAL behavior of materials ,STOCHASTIC models ,MACHINERY testing ,MATERIAL fatigue ,MARKOV processes - Abstract
The health of a mechanical component deteriorates over time and its service life is randomly distributed and can be modeled by a stochastic deterioration process. For most of the mechanical components, the deterioration process follows a certain physical laws and their mean life to failure can be determined approximately by these laws. However, it is not easy to apply these laws for mechanical component prognostics in current health monitoring applications. In this paper, a stochastic modeling methodology for mechanical component prognostics with condition indicators used in current health monitoring applications is presented. The effectiveness of the methodology is demonstrated with a real shaft fatigue life prediction case study. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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34. Quantification of condition indicator performance on a split torque gearbox.
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Bechhoefer, Eric, Li, Ruoyu, and He, David
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GEARING machinery dynamics ,HELICOPTERS -- Parts ,TIME-domain analysis ,SIGNAL-to-noise ratio - Abstract
The requirement for higher energy density transmissions (lower weight) in helicopters has led to the development of the split torque gearbox (STG) to replace the traditional planetary gearbox by the drive train designer. This may pose a challenge for the current gear analysis methods used in health and usage monitoring systems (HUMS). Gear analysis uses time synchronous averages to separates in frequency gears that are physically close to a sensor. The effect of a large number of synchronous components (gears or bearing) in close proximity may significantly reduce the fault signal (reduce signal to noise ratio) and therefore reduce the effectiveness of current gear analysis algorithms. In this paper, quantification of condition indicator performance on a split torque gearbox is reported. The vibration signatures are processed through a number of gear analysis algorithms to quantify the gear fault performance. The performance metric is separability. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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- View/download PDF
35. Spall length estimation based on strain model and experimental FBG data.
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Medvedovsky, Dana, Ohana, Ravit, Klein, Renata, Tur, Moshe, and Bortman, Jacob
- Subjects
- *
FIBER Bragg gratings , *FATIGUE cracks , *BALL bearings , *FAILURE mode & effects analysis , *FINITE element method - Abstract
Bearings are critical components in most machines that suffer from fatigue damage, and hence need to be monitored. The development of spalls in the bearing races is the prevalent failure mode. In this research, we propose a new diagnostic method for ball bearings monitoring that is based on strain measurement. A standard Fiber Bragg Grating (FBG) sensor has been used for the strain measurement. A physics-based theoretical analysis is used to establish insight and analysis of the strain signals generated by both healthy and faulty bearings. The analysis is based on two complementary models that were integrated into a strain model: a quasi-static Finite element (FE) and a solid bodies dynamic model. The integrated strain model enables simulation of a wide range of spall lengths and describes the behavior of the strain signals as a result of various phenomena. The strain model was validated with measured data. A new signal processing scheme of strain signals for the diagnostics of bearings was established. This scheme enabled the development of a novel automatic algorithm for spall length estimation, which makes it possible, for the first time, to track spall length propagation in bearings outer race, based on strain signals. The algorithm was developed and validated based on seeded fault experiments, wherein different sizes of faults on the outer race at different rotational speeds were examined. The trend of the spall length during a bearing endurance test was generated and verified. The insights from the strain model, combined with the experimental observations, enable generalization of the algorithm and definition of its capabilities and limitations. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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36. Mechanical fault detection using fuzzy index fusion
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Boutros, Tony and Liang, Ming
- Subjects
- *
FUZZY logic , *INFERENCE (Logic) , *FUZZY systems , *MATHEMATICAL logic - Abstract
Abstract: This paper reports a simple, effective and robust fusion approach based on fuzzy logic and Sugeno-style inference engine. Using this method, four condition-monitoring indicators, developed for detection of transient and gradual abnormalities, are fused into one single comprehensive fuzzy fused index (FFI) for reliable machinery health assessment. This approach has been successfully tested and validated in two different applications: tool condition monitoring in milling operations and bearing condition assessment. The FFI differentiates clearly between the normal and abnormal conditions using the same fuzzy rule base. This certainly shows the versatility and robustness of the FFI. As the FFI value always falls between zero and one, it facilitates threshold setting in monitoring conditions of different tools or machinery components. Our experimental study also indicates that the FFI is sensitive to fault severity, capable of differentiating damages caused by an identical fault at different bearing components, but not susceptible to load changes. [Copyright &y& Elsevier]
- Published
- 2007
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37. Soil seed reserves in arid grazing lands of central Australia. Part 2: availability of ‘safe sites’
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Kinloch, J.E. and Friedel, M.H.
- Subjects
- *
SEEDS , *GRAZING , *SOILS - Abstract
In the arid grazing lands of central Australia, a previous study found that the size and composition of seed banks were changed by heavy grazing. In this concurrent study we found that grazing decreased the number of ‘safe sites’ for seeds by reducing soil stability and damaging broad-scale resource traps. The loss of ‘safe sites’ was likely to have had a greater initial impact on seed bank size than the direct effect of grazing on seed-bearing plants. In this environment, changes to the soil preceded changes to the vegetation, so that soil-based rather than vegetation-based indicators may provide a better early warning of rangeland deterioration. [Copyright &y& Elsevier]
- Published
- 2005
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38. Indicators for inspection and maintenance planning of concrete structures
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Faber, M.H. and Sorensen, J.D.
- Subjects
- *
BUILDING inspection , *RELIABILITY in engineering - Abstract
Based on an idea introduced by Benjamin and Cornell (1970. Probability, statistics and decision for civil engineers. New York: McGaw Hill) and previous works by the authors it is demonstrated how condition indicators may be formulated for the general purpose of quality control and for assessment and inspection planning in particular. The formulation facilitates quality control based on sampling of indirect information about the condition of the considered components. This allows for a Bayesian formulation of the indicators whereby the experience and expertise of the inspection personnel may be fully utilized and consistently updated as frequentistic information is collected. The approach is illustrated on an example considering a concrete structure subject to corrosion. It is shown how half-cell potential measurements may be utilized to update the probability of excessive repair after 50 years. Furthermore in the same example it is shown how the concept of condition indicators might be applied to develop a cost optimal maintenance strategy composed of preventive and corrective repair measures. [Copyright &y& Elsevier]
- Published
- 2002
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39. Low-dimensional spaces for relating sensor signals with internal data structure in a propulsion system
- Author
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Catherine Cheung, Richard Salas Chavez, Srishti Sehgal, Nicolle Kilfoyle, and Julio J. Valdés
- Subjects
low-dimensional spaces ,Physics and Astronomy (miscellaneous) ,lcsh:T ,business.industry ,Computer science ,condition indicators ,Propulsion ,Data structure ,lcsh:Technology ,Management of Technology and Innovation ,failure prediction ,lcsh:Q ,Aerospace engineering ,lcsh:Science ,business ,Engineering (miscellaneous) ,intrinsic dimension - Abstract
Advances in technology have enabled the installation of an increasing number of sensors in various mechanical systems allowing for more detailed equipment health monitoring capabilities. It is hoped the sensor data will enable development of predictive tools to prevent system failures. This work describes continued analysis of sensor data surrounding a seizure of a turbocharger within a propulsion system. The objective of the analysis was to characterize and distinguish healthy and failed states of the turbocharger. The analysis approach included mapping of multi-dimensional sensor data to a low-dimensional space using various linear and nonlinear techniques in order to highlight and visualize the underlying structure of the information. To provide some physical insight into the structure of the low-dimensional representation, the transformation plots were analyzed from the perspective of several engine signals. By overlaying operating ranges of individual sensor signals, certain regions of the mappings could be associated with distinct operational states of the engine, and several anomalies could be related to various points in the turbocharger seizure. Although the failed points did not map to an obvious outlier location in the transformations, incorporating expert domain knowledge with the data mining tools significantly enhanced the insight derived from the sensor data.
- Published
- 2018
40. A Review of Gear Fault Diagnosis Using Various Condition Indicators
- Author
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Vikas Sharma and Anand Parey
- Subjects
0209 industrial biotechnology ,Engineering ,business.industry ,condition indicators ,Fixed-axis gearboxes ,Condition monitoring ,02 engineering and technology ,General Medicine ,fault diagnosis ,Fault (power engineering) ,020303 mechanical engineering & transports ,020901 industrial engineering & automation ,0203 mechanical engineering ,Risk analysis (engineering) ,Forensic engineering ,gear fault ,signal processing ,business ,Engineering(all) - Abstract
Plentiful work has been done for condition monitoring (CI) and fault diagnosis of fixed-axis gearboxes. However, still it is found that articles citing condition indicators for fault diagnosis of gearboxes are less in quantity, in academic journals, conference proceedings and technical reports. The specialty of condition indicators is to provide accurate information regarding the condition of various components at different levels of damage (initial, heavy or growing). Here, these indicators are addressed domain-wise and their characteristics are stated. The objective of this paper is to review and encapsulate this literature to provide a wide and good reference for researchers to be utilized. The structure of a fixed-axis gearbox is briefly introduced. The unique behaviors and fault characteristics of fixed-axis gearbox is recognized and studied. Investigations on the basis of statistical indicators are also summarized based on the adopted methodologies. Lastly, open problems are stated and further research prospects pointed out.
- Published
- 2016
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41. The biodiversity impacts of non-native species should not be extrapolated from biased single-species studies
- Author
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Australian Government, Guerin, Greg R., Martín-Forés, Irene, Sparrow, Ben, Lowe, Andrew J., Australian Government, Guerin, Greg R., Martín-Forés, Irene, Sparrow, Ben, and Lowe, Andrew J.
- Abstract
The presence, diversity and abundance of non-native plant species in natural vegetation are common condition indicators used to determine conservation status, with consequences for management strategies and investment. The rationale behind non-native species metrics as condition indicators is the assumption that non-natives have negative consequences on native biodiversity and habitat condition. The case against non-native species is not so clear-cut, with some studies reporting neutral or even facilitative interactions, often depending on spatial scale. Observational and experimental evaluations of the impact of particular non-native species on biodiversity provide a vital evidence-base for general conservation management strategies. Unintentionally though, many studies that quantify the impacts of non-native species have resulted in a publication bias in which species with known impacts are selected for investigation far more often than benign species. Here we argue that meta-analyses of the impacts of individual non-native species on natives, no matter how meticulous or objective, should not be generalized beyond the set of ‘training’ species. The likelihood of such extrapolation is increased when meta-analyses are reported with little qualification as to the skewed sampling towards problematic species, and because alternative findings such as non-native assemblages having positive interactions with native biodiversity, are under-reported. To illustrate, we discuss two meta-analyses that make general conclusions from impact studies skewed towards ‘transformers’, the most extreme invaders. We warn that if generic non-native species management strategies were to be based on these conclusions, they could not only fail to meet objectives but in some instances harm native biodiversity.
- Published
- 2018
42. Using vegetation dynamics to face the challenge of the conservation status assessment in semi-natural habitats
- Author
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Bruno Paura, Emanuela Carli, Sabina Burrascano, Carlo Blasi, C Giancola, Laura Zavattero, Eva Del Vico, Piera Di Marzio, Marta Alós, Eleonora Giarrizzo, L. Facioni, Giovanni Salerno, and B. Mollo
- Subjects
0106 biological sciences ,calcareous grasslands ,condition indicators ,010603 evolutionary biology ,01 natural sciences ,re-survey ,habitat 6210 ,General Environmental Science ,habitat monitoring ,habitats directive ,agricultural and biological sciences (all) ,earth and planetary sciences (all) ,Semi natural habitats ,Ecology ,Habitat conservation ,Species diversity ,Vegetation dynamics ,Geography ,Habitat ,Mixed effects ,General Earth and Planetary Sciences ,Conservation status ,General Agricultural and Biological Sciences ,Natura 2000 ,010606 plant biology & botany - Abstract
The conservation of semi-natural habitats represents a primary challenge for European nature conservation due to their great species diversity and their vulnerability to ongoing massive land-use changes. As these changes rapidly transform and phase out semi-natural habitats, conservation measures should be prompt and specifically focused on a sound assessment of the degree of conservation. Here we develop a methodological strategy for the assessment of the degree of conservation of semi-natural grasslands based on well-defined criteria rather than on expert opinion. Through mixed effect models, we tested ten potential indicators, encompassing proxies of species composition, habitat structure, and landscape patterns, against a measure of compositional change from habitat favourable condition, i.e., an inverse proxy of conservation status. This measure derives from the re-visitation of 132 sampling units historically sampled between 1966 and 1992 along the Apennines. The compositional change was quantified as the dissimilarity between historical habitat species pools and the composition of current communities. The compositional change was significantly related to the number of habitat diagnostic species and the relative cover of woody species with opposite sign (positive and negative, respectively). We classified and combined the classes of these two indicators in each sampling unit to assess the habitat degree of conservation at the plot and at the Natura 2000 site level. At the plot level, our assessment was in good agreement with the occurrence of species of conservation concern. On the other hand, at the site level, our assessment was not always harmonic with the habitat conservation assessment officially reported for the site investigated.
- Published
- 2018
43. Sensor selection of helicopter transmission systems based on physical model and sensitivity analysis
- Author
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Chenxu Zhao, Kehong Lyu, Guanjun Liu, and Xiaodong Tan
- Subjects
Engineering ,Aerospace Engineering ,Sensor selection ,Set (abstract data type) ,Control theory ,Statistics ,Health indicator ,medicine ,Sensitivity (control systems) ,Helicopter transmission systems ,Reliability (statistics) ,Motor vehicles. Aeronautics. Astronautics ,Statistical hypothesis testing ,Sen slop estimator ,business.industry ,Mechanical Engineering ,Mann–Kendall test ,Experimental data ,Estimator ,Stiffness ,TL1-4050 ,Transmission system ,Condition indicators ,Physical model ,medicine.symptom ,Sensitivity analysis ,business - Abstract
In the helicopter transmission systems, it is important to monitor and track the tooth damage evolution using lots of sensors and detection methods. This paper develops a novel approach for sensor selection based on physical model and sensitivity analysis. Firstly, a physical model of tooth damage and mesh stiffness is built. Secondly, some effective condition indicators (CIs) are presented, and the optimal CIs set is selected by comparing their test statistics according to Mann–Kendall test. Afterwards, the selected CIs are used to generate a health indicator (HI) through sen slop estimator. Then, the sensors are selected according to the monotonic relevance and sensitivity to the damage levels. Finally, the proposed method is verified by the simulation and experimental data. The results show that the approach can provide a guide for health monitoring of helicopter transmission systems, and it is effective to reduce the test cost and improve the system’s reliability.
- Published
- 2014
- Full Text
- View/download PDF
44. Critical evaluation and comparison of psychoacoustics, acoustics and vibration features for gear fault correlation and classification.
- Author
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Kane, P.V. and Andhare, A.B.
- Subjects
- *
GEARING machinery vibration , *FAULT diagnosis , *ASSEMBLY line methods , *ACOUSTIC vibrations , *GEARBOXES , *ACOUSTIC stimulation - Abstract
• Analysis of psychoacoustics, acoustics and vibration features for gear faults. • Application of psychoacoustics for diagnosing different faults in gearbox. • Application of ANN and Discriminant classifier to predict gear faults. • Comparison of its results for signal statistical and psychoacoustic features set. • Prediction by psychoacoustics features is showing better accuracy. Gear fault diagnosis has gained importance in the last few decades with the focus of fault diagnosis function for maintenance purpose. This paper investigates the ability of various vibration, acoustics and psychoacoustic features to correlate and classify faults in the gearbox. This study is motivated by the process of gearbox fault diagnosis at the end of the assembly line inspection of gearbox. It is observed that during the end of assembly line inspection, the gearbox is operated on a test bench and operator takes a decision about the presence of fault by listening to the sound emitted by the gearbox. This decision is based on an operator's judgement and past experience which involves subjectivity. Efforts are made to address this issue of end of the line inspection, by applying a scientific, objective psychoacoustic based technique which works on similar principles of listening. Experiments are performed in a laboratory by simulating four types of gear faults and vibration and acoustic signals are acquired to extract statistical features of vibration and acoustic signal along with psychoacoustic features. It is observed that different features respond to faults in different ways and changes in feature values are also dependent on loading condition. Therefore, correlating these features with faults is not simple and need intelligent techniques for correlating faults to features. This correlation of faults to features is attempted with different techniques like ANN and discriminant classifier. It is found that the psychoacoustic features have better ability to classify faults compared to acoustics and vibration statistical features which are found to be 93.02% using quadratic discriminant classifier and 95.93% using multilayer feed-forward back-propagation neural network. It is shown that the psychoacoustic based fault identification technique can be applied for the end of the assembly line inspection of gearbox. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
45. Ecologia e condição física do veado na Península Ibérica: implicações para a gestão
- Author
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João Pedro Valente e Santos, Fonseca, Carlos Manuel Martins Santos, Schmidt, Ramón Christian Gortázar, and Vicente Baños, Joaquín
- Subjects
Environmental variation ,Biologia ,Optimisation of methods ,Ecologia animal ,Cervus elaphus ,Game management ,Ecofisiologia ,Stress ,Condition indicators ,Ecossistemas - Península Ibérica ,Physiological ecology ,Individual attributes ,Mediterranean ecosystems ,Cinegética - Gestão de recursos naturais - Península Ibérica ,Veados - Península Ibérica ,Nutrition - Abstract
Doutoramento em Biologia The red deer (Cervus elaphus) is currently one of the most widespread and abundant wild ungulates in the Iberian Peninsula and is extremely important both ecologically, as a key species for the functioning of the ecosystems, and economically, as a major game species. In Iberia, red deer populations are subjected to different management systems that may affect the physical condition of the individuals, with further consequences for population dynamics. Studies investigating the effects of management practices and environmental conditions on the performance of red deer are still rare regarding Mediterranean ecosystems. Much of the knowledge concerning the ecology of red deer and the impact of management on its physical condition is based on studies conducted in northern and central regions of Europe, where climatological features and management practices differ from those observed in the Mediterranean areas of Iberia. Studies on a biogeographical scale can provide important insights into the relationships between species and a particular environment and contribute to the development of more targeted and appropriate management practices. The optimisation of sampling procedures and the fine-tuning of pre-existing analytical techniques are also fundamental to a more cost-effective monitoring and, therefore, are of enormous value to wildlife managers. In this context, the main aims of this thesis were: 1) to optimise the procedures used to assess the physical condition of red deer; and 2) to identify relevant management and environmental factors affecting the nutritional condition and stress physiology of red deer in the Mediterranean ecosystems of Iberia, as well as any potential interactions between those factors. Two studies with a methodological focus, presented in the first part of the thesis, demonstrated that the physical condition of red deer can be evaluated more simply, using more cost- and time-effective procedures than those traditionally used: i) it was shown that only one kidney and its associated fat is enough to assess nutritional condition in red deer; and ii) the feasibility of using near infrared spectroscopy to predict the concentrations of stress hormone metabolites was demonstrated using faeces of red deer for the first time. Subsequently, two large-scale observational studies, conducted in representative red deer populations found in Mediterranean Iberia, highlighted the importance of considering seasonal environmental variations and variables related to hunting management practices to better understand the nutritional and physiological ecology of red deer. High population densities had adverse effects on the nutritional condition of the deer and were associated with increased stress levels in natural populations without supplementary feeding. Massive hunting events involving the use of hounds were also identified as a potential source of chronic stress in red deer. The research presented in this thesis has clear implications regarding the management and monitoring of red deer populations in Mediterranean environments and is intended to help wildlife managers to implement more effective monitoring programmes and sustainable management practices. O veado (Cervus elaphus) é, atualmente, uma das espécies de ungulados silvestres mais abundantes na Península Ibérica. É também uma espécie extremamente importante em termos ecológicos, por ser um elemento chave para o funcionamento dos ecossistemas, e socioeconómicos, por ser uma espécie de caça maior emblemática e altamente valorizada. Na Ibéria, as populações de veados estão sujeitas a diferentes práticas de gestão que podem afetar a condição física dos indivíduos de diferentes formas e, por conseguinte, determinar a sua dinâmica. Apesar da importância desta espécie, os estudos sobre os efeitos da gestão cinegética e das condições ambientais nos indicadores da sua condição física são ainda escassos nos ecossistemas mediterrânicos. Grande parte do conhecimento sobre a ecologia do veado e sobre o impacto da sua gestão cinegética é baseado em estudos realizados em regiões do norte e centro da Europa, onde as características climáticas e os sistemas de gestão diferem daqueles existentes nos ambientes mediterrânicos da Península Ibéria. Os estudos realizados a uma escala biogeográfica podem ser bastante úteis para compreender as relações das espécies com o ambiente, e podem contribuir para o desenvolvimento de práticas de gestão mais específicas e adequadas às necessidades de gestão. A otimização de procedimentos de amostragem e do uso de técnicas analíticas é também essencial para uma monitorização mais eficaz das populações silvestres em termos de tempo e custos associados e, portanto, é uma tema de grande interesse para gestores de fauna selvagem. Neste contexto, os principais objetivos desta tese foram: 1) otimizar os métodos usados para avaliar a condição física do veado; e 2) identificar os fatores de gestão cinegética e ambientais que afetam o estado nutricional e a fisiologia do stress do veado nos ecossistemas mediterrânicos da Ibéria, assim como investigar possíveis interações entre esses fatores. Dois estudos de cariz metodológico, apresentados na primeira parte desta tese, demonstraram que a condição física do veado pode ser avaliada usando procedimentos mais simples e rentáveis do que aqueles normalmente utilizados: i) demonstrou-se que o estado nutricional do veado pode ser avaliado usando apenas um rim e a sua gordura perirrenal; ii) provou-se, pela primeira vez, a viabilidade da espectroscopia no infravermelho próximo para estimar concentrações de metabólitos de hormonas de stress usando fezes de veado. Posteriormente, dois estudos observacionais, realizados em diferentes populações de veados representativas da região mediterrânica ibérica, evidenciaram a importância de considerar as variações ambientais sazonais e as variáveis de gestão cinegética para compreender a ecofisiologia e a ecologia nutricional do veado. Observou-se que as densidades populacionais elevadas afetaram de forma negativa o estado nutricional dos veados e estiveram também associadas a níveis de stress mais elevados em populações naturais sem alimentação suplementar. Para além disto, verificou-se que a realização de eventos de caça massivos com matilhas pode ser um fator de stress crónico nas populações de veados. Os resultados obtidos no âmbito desta tese têm diversas implicações no que diz respeito à monitorização e gestão das populações de veados nos ambientes mediterrânicos. Espera-se que os estudos aqui apresentados ajudem os gestores de fauna silvestre a implementar programas de monitorização populacional mais eficazes e práticas de gestão mais sustentáveis. El ciervo rojo (Cervus elaphus) es actualmente uno de los ungulados silvestres más abundantes de la Península Ibérica. Es una especie con una elevada importancia ecológica, siendo un elemento clave en la dinámica de los ecosistemas mediterráneos, y presenta un gran valor socioeconómico, al ser una especie de caza mayor emblemática y muy apreciada. En el territorio peninsular, las poblaciones de ciervos están sometidas a diferentes sistemas de manejo que pueden modular la condición física de los individuos y, consecuentemente, determinar la dinámica de sus poblaciones. Pese a la relevancia de esta especie, aun son escasos los estudios sobre los efectos de la gestión cinegética y de las condiciones ambientales en los indicadores de su condición en los ecosistemas mediterráneos. La mayor parte del conocimiento sobre la ecología de esta especie y sobre el impacto de su gestión cinegética se basa en estudios realizados en regiones del norte y centro de Europa, donde las características climáticas y sistemas de manejo son diferentes a los presentes en los ambientes mediterráneos de la Península Ibérica. Los estudios realizados a una escala biogeográfica pueden ser muy útiles para comprender las relaciones de las especies con el ambiente, y pueden contribuir al desarrollo de prácticas de manejo más especificas y adecuadas a las necesidades de gestión. La optimización de procedimientos de muestreo y la puesta a punto de técnicas analíticas son también de gran importancia para una monitorización más eficaz de las poblaciones silvestres en términos de tiempo y costes asociados y, por consiguiente, son temas de gran interés para los gestores de la fauna silvestre. En este contexto, los objetivos principales de esta tesis doctoral fueron: 1) optimizar los métodos usados para evaluar la condición física del ciervo; y 2) identificar los factores de manejo y ambientales que afectan el estado nutricional y la fisiología del estrés del ciervo en los ecosistemas de la Iberia mediterránea, así como estudiar las posibles interacciones entre dichos factores. Dos estudios con un enfoque metodológico, presentados en la primera parte de esta tesis, demostraron que la condición física del ciervo se puede valorar usando procedimientos más sencillos y rentables que los usados tradicionalmente: i) se ha demostrado que el estado nutricional del ciervo se puede evaluar usando solamente un riñón y su grasa perirrenal; y ii) se comprobó, por primera vez, la viabilidad de la espectroscopia en el infrarrojo cercano para estimar las concentraciones de metabolitos de hormonas de estrés usando heces de ciervo. Posteriormente, dos estudios observacionales basados en poblaciones de ciervo representativas de la Iberia mediterránea evidenciaron la importancia de considerar las variaciones ambientales estacionales y las variables de manejo cinegético para comprender la ecofisiología y la ecología nutricional del ciervo. Se observó que las densidades poblacionales elevadas afectan de forma negativa al estado nutricional de los ciervos y éstas se asociaron con niveles de estrés más elevados en poblaciones naturales sin suplementación alimentaria. Además, se verificó que los eventos de caza masivos con rehalas pueden representar un factor de estrés crónico en las poblaciones de ciervos. Los resultados obtenidos en esta tesis tienen implicaciones en lo que respecta a la monitorización y gestión de las poblaciones de ciervos en ambientes mediterráneos, y se espera que los estudios aquí presentados ayuden a los gestores de fauna silvestre a implementar programas de monitorización más eficaces y prácticas de gestión más sostenibles.
- Published
- 2015
46. Ecología y condición física del ciervo rojo en la Península Ibérica: implicaciones para la gestión
- Author
-
Santos, João P., Santos Fonseca, Manuel Martins, Gortázar, Christian, Vicente, Joaquín, European Commission, Quadro de Referência Estratégico Nacional (Portugal), Universidade de Aveiro, Universidad de Castilla La Mancha, and Fundação para a Ciência e a Tecnologia (Portugal)
- Subjects
Environmental variation ,Optimización de metodologías ,Optimisation of methods ,Otimização de metodologias ,Cervus elaphus ,Game management ,Variabilidad ambiental ,Nutrição ,Stress ,Condition indicators ,Gestão cinegética ,Ecofisiología ,Gestión cinegética ,Nutrición ,Physiological ecology ,Características individuais ,Individual attributes ,Ecossistemas mediterrânicos ,Indicadores de condição ,Mediterranean ecosystems ,Indicadores de condición ,Ecosistemas mediterráneos ,Nutrition ,Estrés - Abstract
Tese apresentada pela João Pedro Valente e Santos à Universidade de Aveiro para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Biologia., [EN]: The red deer (Cervus elaphus) is currently one of the most widespread and abundant wild ungulates in the Iberian Peninsula and is extremely important both ecologically, as a key species for the functioning of the ecosystems, and economically, as a major game species. In Iberia, red deer populations are subjected to different management systems that may affect the physical condition of the individuals, with further consequences for population dynamics. Studies investigating the effects of management practices and environmental conditions on the performance of red deer are still rare regarding Mediterranean ecosystems. Much of the knowledge concerning the ecology of red deer and the impact of management on its physical condition is based on studies conducted in northern and central regions of Europe, where climatological features and management practices differ from those observed in the Mediterranean areas of Iberia. Studies on a biogeographical scale can provide important insights into the relationships between species and a particular environment and contribute to the development of more targeted and appropriate management practices. The optimisation of sampling procedures and the fine-tuning of pre-existing analytical techniques are also fundamental to a more cost-effective monitoring and, therefore, are of enormous value to wildlife managers. In this context, the main aims of this thesis were: 1) to optimise the procedures used to assess the physical condition of red deer; and 2) to identify relevant management and environmental factors affecting the nutritional condition and stress physiology of red deer in the Mediterranean ecosystems of Iberia, as well as any potential interactions between those factors. Two studies with a methodological focus, presented in the first part of the thesis, demonstrated that the physical condition of red deer can be evaluated more simply, using more cost- and time-effective procedures than those traditionally used: i) it was shown that only one kidney and its associated fat is enough to assess nutritional condition in red deer; and ii) the feasibility of using near infrared spectroscopy to predict the concentrations of stress hormone metabolites was demonstrated using faeces of red deer for the first time. Subsequently, two large-scale observational studies, conducted in representative red deer populations found in Mediterranean Iberia, highlighted the importance of considering seasonal environmental variations and variables related to hunting management practices to better understand the nutritional and physiological ecology of red deer. High population densities had adverse effects on the nutritional condition of the deer and were associated with increased stress levels in natural populations without supplementary feeding. Massive hunting events involving the use of hounds were also identified as a potential source of chronic stress in red deer. The research presented in this thesis has clear implications regarding the management and monitoring of red deer populations in Mediterranean environments and is intended to help wildlife managers to implement more effective monitoring programmes and sustainable management practices., [PO]: O veado (Cervus elaphus) é, atualmente, uma das espécies de ungulados silvestres mais abundantes na Península Ibérica. É também uma espécie extremamente importante em termos ecológicos, por ser um elemento chave para o funcionamento dos ecossistemas, e socioeconómicos, por ser uma espécie de caça maior emblemática e altamente valorizada. Na Ibéria, as populações de veados estão sujeitas a diferentes práticas de gestão que podem afetar a condição física dos indivíduos de diferentes formas e, por conseguinte, determinar a sua dinâmica. Apesar da importância desta espécie, os estudos sobre os efeitos da gestão cinegética e das condições ambientais nos indicadores da sua condição física são ainda escassos nos ecossistemas mediterrânicos. Grande parte do conhecimento sobre a ecologia do veado e sobre o impacto da sua gestão cinegética é baseado em estudos realizados em regiões do norte e centro da Europa, onde as características climáticas e os sistemas de gestão diferem daqueles existentes nos ambientes mediterrânicos da Península Ibéria. Os estudos realizados a uma escala biogeográfica podem ser bastante úteis para compreender as relações das espécies com o ambiente, e podem contribuir para o desenvolvimento de práticas de gestão mais específicas e adequadas às necessidades de gestão. A otimização de procedimentos de amostragem e do uso de técnicas analíticas é também essencial para uma monitorização mais eficaz das populações silvestres em termos de tempo e custos associados e, portanto, é uma tema de grande interesse para gestores de fauna selvagem. Neste contexto, os principais objetivos desta tese foram: 1) otimizar os métodos usados para avaliar a condição física do veado; e 2) identificar os fatores de gestão cinegética e ambientais que afetam o estado nutricional e a fisiologia do stress do veado nos ecossistemas mediterrânicos da Ibéria, assim como investigar possíveis interações entre esses fatores. Dois estudos de cariz metodológico, apresentados na primeira parte desta tese, demonstraram que a condição física do veado pode ser avaliada usando procedimentos mais simples e rentáveis do que aqueles normalmente utilizados: i) demonstrou-se que o estado nutricional do veado pode ser avaliado usando apenas um rim e a sua gordura perirrenal; ii) provou-se, pela primeira vez, a viabilidade da espectroscopia no infravermelho próximo para estimar concentrações de metabólitos de hormonas de stress usando fezes de veado. Posteriormente, dois estudos observacionais, realizados em diferentes populações de veados representativas da região mediterrânica ibérica, evidenciaram a importância de considerar as variações ambientais sazonais e as variáveis de gestão cinegética para compreender a ecofisiologia e a ecologia nutricional do veado. Observou-se que as densidades populacionais elevadas afetaram de forma negativa o estado nutricional dos veados e estiveram também associadas a níveis de stress mais elevados em populações naturais sem alimentação suplementar. Para além disto, verificou-se que a realização de eventos de caça massivos com matilhas pode ser um fator de stress crónico nas populações de veados. Os resultados obtidos no âmbito desta tese têm diversas implicações no que diz respeito à monitorização e gestão das populações de veados nos ambientes mediterrânicos. Espera-se que os estudos aqui apresentados ajudem os gestores de fauna silvestre a implementar programas de monitorização populacional mais eficazes e práticas de gestão mais sustentáveis., [ES]: El ciervo rojo (Cervus elaphus) es actualmente uno de los ungulados silvestres más abundantes de la Península Ibérica. Es una especie con una elevada importancia ecológica, siendo un elemento clave en la dinámica de los ecosistemas mediterráneos, y presenta un gran valor socioeconómico, al ser una especie de caza mayor emblemática y muy apreciada. En el territorio peninsular, las poblaciones de ciervos están sometidas a diferentes sistemas de manejo que pueden modular la condición física de los individuos y, consecuentemente, determinar la dinámica de sus poblaciones. Pese a la relevancia de esta especie, aun son escasos los estudios sobre los efectos de la gestión cinegética y de las condiciones ambientales en los indicadores de su condición en los ecosistemas mediterráneos. La mayor parte del conocimiento sobre la ecología de esta especie y sobre el impacto de su gestión cinegética se basa en estudios realizados en regiones del norte y centro de Europa, donde las características climáticas y sistemas de manejo son diferentes a los presentes en los ambientes mediterráneos de la Península Ibérica. Los estudios realizados a una escala biogeográfica pueden ser muy útiles para comprender las relaciones de las especies con el ambiente, y pueden contribuir al desarrollo de prácticas de manejo más especificas y adecuadas a las necesidades de gestión. La optimización de procedimientos de muestreo y la puesta a punto de técnicas analíticas son también de gran importancia para una monitorización más eficaz de las poblaciones silvestres en términos de tiempo y costes asociados y, por consiguiente, son temas de gran interés para los gestores de la fauna silvestre. En este contexto, los objetivos principales de esta tesis doctoral fueron: 1) optimizar los métodos usados para evaluar la condición física del ciervo; y 2) identificar los factores de manejo y ambientales que afectan el estado nutricional y la fisiología del estrés del ciervo en los ecosistemas de la Iberia mediterránea, así como estudiar las posibles interacciones entre dichos factores. Dos estudios con un enfoque metodológico, presentados en la primera parte de esta tesis, demostraron que la condición física del ciervo se puede valorar usando procedimientos más sencillos y rentables que los usados tradicionalmente: i) se ha demostrado que el estado nutricional del ciervo se puede evaluar usando solamente un riñón y su grasa perirrenal; y ii) se comprobó, por primera vez, la viabilidad de la espectroscopia en el infrarrojo cercano para estimar las concentraciones de metabolitos de hormonas de estrés usando heces de ciervo. Posteriormente, dos estudios observacionales basados en poblaciones de ciervo representativas de la Iberia mediterránea evidenciaron la importancia de considerar las variaciones ambientales estacionales y las variables de manejo cinegético para comprender la ecofisiología y la ecología nutricional del ciervo. Se observó que las densidades poblacionales elevadas afectan de forma negativa al estado nutricional de los ciervos y éstas se asociaron con niveles de estrés más elevados en poblaciones naturales sin suplementación alimentaria. Además, se verificó que los eventos de caza masivos con rehalas pueden representar un factor de estrés crónico en las poblaciones de ciervos. Los resultados obtenidos en esta tesis tienen implicaciones en lo que respecta a la monitorización y gestión de las poblaciones de ciervos en ambientes mediterráneos, y se espera que los estudios aquí presentados ayuden a los gestores de fauna silvestre a implementar programas de monitorización más eficaces y prácticas de gestión más sostenibles., Apoio financeiro da Fundação para a Ciência e a Tecnologia (FCT) e do Fundo Social Europeu (FSE) no âmbito do III Quadro Comunitário de Apoio. SFRH/BD/65880/2009. Apoio financeiro da Universidade de Aveiro (UA), no âmbito do Projeto “DEER-Monitorização de Cervídeos em Portugal”. BI/CESAM/DBio/ Deer-Portugal/2013 Apoio financeiro do Colégio Doutoral Tordesillas (CDT), no âmbito do protocolo estabelecido entre a Universidad de Castilla-La Mancha (UCLM) e a Universidade de Aveiro (UA). 2015-COB-5540.
- Published
- 2015
47. Ecology and physical condition of red deer in the Iberian Peninsula: implications for management
- Author
-
Santos Fonseca, Manuel Martins, Gortázar, Christian, Vicente, Joaquín, European Commission, Quadro de Referência Estratégico Nacional (Portugal), Universidade de Aveiro, Universidad de Castilla La Mancha, Fundação para a Ciência e a Tecnologia (Portugal), Santos, João P., Santos Fonseca, Manuel Martins, Gortázar, Christian, Vicente, Joaquín, European Commission, Quadro de Referência Estratégico Nacional (Portugal), Universidade de Aveiro, Universidad de Castilla La Mancha, Fundação para a Ciência e a Tecnologia (Portugal), and Santos, João P.
- Abstract
[EN]: The red deer (Cervus elaphus) is currently one of the most widespread and abundant wild ungulates in the Iberian Peninsula and is extremely important both ecologically, as a key species for the functioning of the ecosystems, and economically, as a major game species. In Iberia, red deer populations are subjected to different management systems that may affect the physical condition of the individuals, with further consequences for population dynamics. Studies investigating the effects of management practices and environmental conditions on the performance of red deer are still rare regarding Mediterranean ecosystems. Much of the knowledge concerning the ecology of red deer and the impact of management on its physical condition is based on studies conducted in northern and central regions of Europe, where climatological features and management practices differ from those observed in the Mediterranean areas of Iberia. Studies on a biogeographical scale can provide important insights into the relationships between species and a particular environment and contribute to the development of more targeted and appropriate management practices. The optimisation of sampling procedures and the fine-tuning of pre-existing analytical techniques are also fundamental to a more cost-effective monitoring and, therefore, are of enormous value to wildlife managers. In this context, the main aims of this thesis were: 1) to optimise the procedures used to assess the physical condition of red deer; and 2) to identify relevant management and environmental factors affecting the nutritional condition and stress physiology of red deer in the Mediterranean ecosystems of Iberia, as well as any potential interactions between those factors. Two studies with a methodological focus, presented in the first part of the thesis, demonstrated that the physical condition of red deer can be evaluated more simply, using more cost- and time-effective procedures than those traditionally used: i) it was, [PO]: O veado (Cervus elaphus) é, atualmente, uma das espécies de ungulados silvestres mais abundantes na Península Ibérica. É também uma espécie extremamente importante em termos ecológicos, por ser um elemento chave para o funcionamento dos ecossistemas, e socioeconómicos, por ser uma espécie de caça maior emblemática e altamente valorizada. Na Ibéria, as populações de veados estão sujeitas a diferentes práticas de gestão que podem afetar a condição física dos indivíduos de diferentes formas e, por conseguinte, determinar a sua dinâmica. Apesar da importância desta espécie, os estudos sobre os efeitos da gestão cinegética e das condições ambientais nos indicadores da sua condição física são ainda escassos nos ecossistemas mediterrânicos. Grande parte do conhecimento sobre a ecologia do veado e sobre o impacto da sua gestão cinegética é baseado em estudos realizados em regiões do norte e centro da Europa, onde as características climáticas e os sistemas de gestão diferem daqueles existentes nos ambientes mediterrânicos da Península Ibéria. Os estudos realizados a uma escala biogeográfica podem ser bastante úteis para compreender as relações das espécies com o ambiente, e podem contribuir para o desenvolvimento de práticas de gestão mais específicas e adequadas às necessidades de gestão. A otimização de procedimentos de amostragem e do uso de técnicas analíticas é também essencial para uma monitorização mais eficaz das populações silvestres em termos de tempo e custos associados e, portanto, é uma tema de grande interesse para gestores de fauna selvagem. Neste contexto, os principais objetivos desta tese foram: 1) otimizar os métodos usados para avaliar a condição física do veado; e 2) identificar os fatores de gestão cinegética e ambientais que afetam o estado nutricional e a fisiologia do stress do veado nos ecossistemas mediterrânicos da Ibéria, assim como investigar possíveis interações entre esses fatores. Dois estudos de cariz metodológico, apresentados na pri, [ES]: El ciervo rojo (Cervus elaphus) es actualmente uno de los ungulados silvestres más abundantes de la Península Ibérica. Es una especie con una elevada importancia ecológica, siendo un elemento clave en la dinámica de los ecosistemas mediterráneos, y presenta un gran valor socioeconómico, al ser una especie de caza mayor emblemática y muy apreciada. En el territorio peninsular, las poblaciones de ciervos están sometidas a diferentes sistemas de manejo que pueden modular la condición física de los individuos y, consecuentemente, determinar la dinámica de sus poblaciones. Pese a la relevancia de esta especie, aun son escasos los estudios sobre los efectos de la gestión cinegética y de las condiciones ambientales en los indicadores de su condición en los ecosistemas mediterráneos. La mayor parte del conocimiento sobre la ecología de esta especie y sobre el impacto de su gestión cinegética se basa en estudios realizados en regiones del norte y centro de Europa, donde las características climáticas y sistemas de manejo son diferentes a los presentes en los ambientes mediterráneos de la Península Ibérica. Los estudios realizados a una escala biogeográfica pueden ser muy útiles para comprender las relaciones de las especies con el ambiente, y pueden contribuir al desarrollo de prácticas de manejo más especificas y adecuadas a las necesidades de gestión. La optimización de procedimientos de muestreo y la puesta a punto de técnicas analíticas son también de gran importancia para una monitorización más eficaz de las poblaciones silvestres en términos de tiempo y costes asociados y, por consiguiente, son temas de gran interés para los gestores de la fauna silvestre. En este contexto, los objetivos principales de esta tesis doctoral fueron: 1) optimizar los métodos usados para evaluar la condición física del ciervo; y 2) identificar los factores de manejo y ambientales que afectan el estado nutricional y la fisiología del estrés del ciervo en los ecosistemas de la Iberia me
- Published
- 2015
48. Financial analysis of company PRIMA, join stock company
- Author
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Veselý, Josef, Svoboda, Petr, and Pevná, Jana
- Subjects
rozvaha ,poměrové ukazatele ,financial analysis ,finanční analýza ,horizontal analysis ,join stock company ,final accounts ,condition indicators ,účetní závěrka ,akciová společnost ,vertikální analýza ,výkaz zisku a ztráty ,horizontální analýza ,balance ,profit and loss account ,vertical analysis - Abstract
The topic of the Bachelor's thesis is an accomplishment of the financial analysis at the building company PRIMA, join stock company in the period from 2008 to 2012. In the theoretical part there are presented the sources which the financial analysis draws from and the users who can be interested in the results of the analysis. Furthermore there are the tools by the help of which the financial analysis of the plant was accomplished. The analysed company is introduced in the practical part. Afterwards there is the financial analysis of the company PRIMA, join stock company accomplished by the help of the tools which are described in the theoretical part. The final accounts of the plant, information from the management of the company and the methods of the financial analysis were used to this financial analysis. The resume of this Bachelor's thesis summarizes the results of the accomplished financial analysis. Furthermore there are suggested some recommendations thanks to which the company can improve its financial situation.
- Published
- 2013
49. Gear Fatigue Diagnostics and Prognostics
- Author
-
ROCHESTER INST OF TECH NY, Nenadic, Nenad G, ROCHESTER INST OF TECH NY, and Nenadic, Nenad G
- Abstract
This progress report covers the first period of funding (April 2012-September 2012). The first objective was to collect meaningful gear fault progression data starting from healthy NASA-designed spur test gears and ending with failed parts. Because tooth breaking gives rise to catastrophic failures of larger systems that employ gearboxes, the focus was placed on this failure mode. Data has been collected with the development of prognostic algorithms in mind. With previously designed, fabricated, and instrumented fixtures (one for single gear tooth fatigue, and one for gear-on-gear dynamometer-based tester) we have been collecting crack initiation and crack propagation data. Acoustic emission (AE) sensors, with the accompanying signal processing and software, furnished by VTD, has been added to both fixtures (one at a time) to collect acoustic emission data in parallel with the existing signals: force, displacement, and crack-propagation data (single-tooth fatigue tester); and torque, angular speed, vibration, temperature, and crack-propagation (gear-on-gear dynamometer-based tester). The main outcome of the study will be a database with raw data, accompanying computed condition indicators (CIs), and photographs. In addition, the developed tools for processing the data, viewing the data, and modifying the data in the database will also be included, with associated documentation. The current effort is a continuation of the work that was performed under Award No. W911NF- 09-2-0002. The prior work included development of fixtures, the first version of the algorithms, methods, and procedures for crack initiation and crack propagation, and preliminary database design.
- Published
- 2013
50. Embedded Reasoning Supporting Aerospace IVHM
- Author
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IMPACT TECHNOLOGIES LLC ROCHESTER NY, Schoeller, Michael H., Roemer, Michael J., Leonard, Matthew S., Derriso, Mark, IMPACT TECHNOLOGIES LLC ROCHESTER NY, Schoeller, Michael H., Roemer, Michael J., Leonard, Matthew S., and Derriso, Mark
- Abstract
The work presented in this paper summarizes an effort to advance the current state of vehicle health reasoning practice as a fundamental element of an Integrated Vehicle Health Management (IVHM) approach. This effort seeks to integrate detection, diagnostic, and prognostic capabilities with a hierarchical diagnostic reasoning architecture into a single synergistic, embeddable commercial off-the-shelf (COTS) unit. Three avenues have been pursued to advance the capabilities of health reasoning in support of IVHM. First, the scope of the systems/subsystems being monitored by the underlying Health and Usage Monitoring System (HUMS) has been expanded. The HUMS is comprised of subsystem specific prognostic and health management (PHM) modules developed to process raw measured data and supply condition indicators (CI) targeting several flight critical areas from advanced aerospace applications: such as electro-mechanical actuators (EMA), engine performance, power train vibration, and structural impact detection and isolation. Second, a hierarchical, model-based reasoning approach has been developed to isolate and classify latent failure mode manifestations existing in the condition indicators output by the diagnostic and prognostic algorithms and utilize this information to assess the functional availability of the vehicle and its constituent subsystems. At the lowest level, the embedded reasoning seeks to classify latent failure mode indications from raw sensor data or condition indicators considered as evidence sources and isolate the root cause mechanism along with the accompanying severity. In addition, a confidence assessment is determined by considering the temporal element and how many times a particular piece of indicting evidence has repeated in the previous N evaluation iterations., To be presented AIAA Infotech@Aerospace 2007 Conference, Rohert Park, CA on 7-10 May 2007. Final version published in proceedings of the same as AIAA 2007-2820. Prepared in collaboration with the Air Vehicle Directorate, Air Force Research Lab, Wright-Patterson AFB, OH. The original document contains color images.
- Published
- 2007
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