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123 results on '"Yan, Xinping"'

15. HF-Based Sensorless Control of a FTPMM in Ship Shaftless Rim-Driven Thruster System.

Author

Bai, Hongfen, Yu, Bo, Ouyang, Wu, Yan, Xinping, and Zhu, Jingwei

Abstract

Take a dual-winding permanent magnet fault tolerant motor (FTPMM) in the ship shaftless rim-driven thruster (RDT) as the research object, the position sensorless control algorithm based on high frequency (HF) current injection is presented to estimate the rotor position and the rotor position signal is extracted from the voltage. In order to reduce influences of proportional-integral (PI) controller, current regulators and voltage calculation errors, the generalized second-order integrator (SOGI) is discussed along with how to combine with the low-speed sensorless control. And the current vector fault-tolerant control strategy is applied to compensate for the faulty phase current with other healthy phase currents. The rotor position at low speed is estimated under healthy as well as open-circuit faulty conditions by using the HF current injection algorithm based on SOGI (HF-SOGI). After simulation in Matlab/Simulink, the experimental results further demonstrate the feasibility of the HF-SOGI strategy by the FTPMM experimental setup. It can be calculated that the rotor speed ripple is decreased obviously after fault-tolerant control strategy is applied. It can be concluded that the HF-SOGI strategy can estimate the position accurately, which can further improve the reliability and application scope of FTPMM and the RDT system. [ABSTRACT FROM AUTHOR]

Published
2022
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22. A Belief Rule-Based Expert System for Fault Diagnosis of Marine Diesel Engines.

Author

Xu, Xiaojian, Yan, Xinping, Sheng, Chenxing, Yuan, Chengqing, Xu, Dongling, and Yang, Jianbo

Subjects
*MARINE engines, *FAULT diagnosis, *EXPERT systems, *DIESEL motors, *ARTIFICIAL neural networks, *SUPPORT vector machines, *FUEL pumps
Abstract

This paper proposes a new belief rule-based (BRB) expert system for fault diagnosis of marine diesel engines. The expert system is the first of its kind that consists of multiple concurrently activated BRB subsystems, in which each subsystem has its distinctive outputs and uses the evidential reasoning approach for inference. This novel modeling approach can be applied to identify fault modes that may co-exist. In essence, the group of BRB subsystems is used to model the nonlinear relationships between the fault features and the fault modes in marine diesel engines. The initial BRB expert system can be established by using expert experience and then optimized by using the data samples accumulated during the operation of marine diesel engines. Due to limitations in knowledge and data collected, ignorance is also considered in some BRB subsystems. The proposed BRB expert system is applied to abnormal wear detection for a kind of marine diesel engine. The performance of the BRB expert system is investigated in comparison with that of artificial neural network (ANN) models, support vector machine (SVM) models, and binary logistic regression model with fivefold cross-validation. The results show that the BRB expert system can be used for fault diagnosis of marine diesel engines in a probabilistic manner, which outperforms the ANN models, SVM models, and the binary logistic regression model in terms of accuracy and stability, and can effectively identify concurrent faults. [ABSTRACT FROM AUTHOR]

Published
2020
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35. Green port environment monitoring system with early warning and linkage control

Author

Yan Xinping, Xie Jinguang, Teng Fei, and Mei Langqi

Subjects
Engineering, Warning system, business.industry, Control (management), Monitoring system, Linkage (mechanical), Port (computer networking), law.invention, Software modules, Software, Risk analysis (engineering), law, business, Telecommunications, Internet of Things
Abstract

Ports are rally points and hubs of water and land transportation, important nodes of the internet of things as well, which are inevitably susceptible to surrounding meteorological environment. To address this issue, a comprehensive environment monitoring system with early warning and linkage control is presented in this paper. First, our system can monitor surrounding meteorological environment data in real-time, which ensures to provide early warming if there encounters any exception. Second, our system can be used to forecast future environment, which significantly benefits the operations and schedules of ports. The last but not the least, through linkage control with other relevant systems, our system enables to meet the needs of green port development. The framework of our system, together with the design of some main software modules, are described in details. Furthermore, several main characteristics and functionalities of our system are further thoroughly introduced.

Published
2015

36. A Novel Cooperative Platform Design for Coupled USV–UAV Systems.

Author

Shao, Guangming, Ma, Yong, Malekian, Reza, Yan, Xinping, and Li, Zhixiong

Abstract

This paper presents a novel cooperative unmanned surface vehicle–unmanned aerial vehicle (USV–UAV) platform to form a powerful combination, which offers foundations for collaborative task executed by the coupled USV–UAV systems. Adjustable buoys and unique carrier deck for the USV are designed to guarantee landing safety and transportation of UAV. The deck of USV is equipped with a series of sensors, and a multiultrasonic joint dynamic positioning algorithm is introduced for resolving the positioning problem of the coupled USV–UAV systems. To fulfill effective guidance for the landing operation of UAV, we design a hierarchical landing guide point generation algorithm to obtain a sequence of guide points. By employing the above sequential guide points, high-quality paths are planned for the UAV. Cooperative dynamic positioning process of the USV–UAV systems is elucidated, and then UAV can achieve landing on the deck of USV steadily. Our cooperative USV–UAV platform is validated by simulation and water experiments. [ABSTRACT FROM AUTHOR]

Published
2019
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37. Remote fault diagnostic model for tribological systems in marine diesel engine with two-level self-organizing map network

Author

Yan Xinping, Xu Xiaojian, Ma Dongzhi, Zhao Jiangbin, Yuan Chengqing, and Sheng Chenxing

Subjects
Self-organizing map, Engineering, business.industry, Feature vector, Reliability (computer networking), Mode (statistics), ComputerApplications_COMPUTERSINOTHERSYSTEMS, Fault (power engineering), Diesel engine, Automotive engineering, Component (UML), Trajectory, business, Simulation
Abstract

Many researches indicate that a great number of failures occur in the tribological system which will reduce the reliability of the marine diesel engine. Therefore, it is necessary to monitor the condition and identify the fault mode of the engine. In this paper, remote fault diagnostic technology is developed to take full advantage of the online oil monitoring system and the laboratory analysis for the tribological systems. To increase the efficiency of fault diagnosis, a two-level fault diagnostic model based on self-organizing map (SOM) was established with the oil parameters from the online oil system and the experimental data from the laboratory. Based on the component map of SOM network, the attributes of the feature vector in the second level were reduced to simplify the model and the trajectory of the samples was tracked during the application of the system. The diagnostic result indicates that the remote fault diagnosis technology benefits the full acquirement of the information reflecting the engine condition and the two level fault diagnostic model can be well applied in fault diagnosis for the tribological systems in marine diesel engine with satisfactory result.

Published
2014

43. Investigation of polymer gradient function material by conducting atomic force microscope

Author

Jiayi Dai, Yan Xinping, Libo Wang, Xinxin Cao, Qiang Chen, Li Jigong, and Dai Yahui

Subjects
Conductive polymer, chemistry.chemical_classification, Materials science, Nanotechnology, Conductive atomic force microscopy, Polymer, Thermal conduction, Casting, chemistry.chemical_compound, Aniline, chemistry, Polystyrene, Polymer blend, Composite material
Abstract

The poly(aniline)(PANI) which is a conductive polymer was blended to general-purpose polymer (polystyrene PS). Then, the PANI/PS blend films of gradient distribution composing of each component under casting conditions from polymer blend NMP solutions by using self-organization based on non-equilibrium phenomena. Electric properties of the films were examined by conducting Atomic Force Micro scope. As a result, high conductivity was observed even in the film top side which consists of a little bit amount of poly (aniline). By applying this result, a novel functional polymer materials was obtained. Moreover, the plastic with nano size electric conduction fibrils wire was also fabricated in the gradient polymer blend film.

Published
2011

44. Visibility estimated in foggy road traffic based on atmospheric scattering model

Author

Chen Xianqiao, Yan Xinping, and Chu Xiumin

Subjects
Meteorology, Computer science, Visibility (geometry), Diffuse sky radiation, Image processing, Atmospheric model, Visibility, Road traffic
Abstract

In road traffic, there exists foggy condition very often. The foggy affects traffic efficiency, even leads to traffic accidents. So it is important to measure the visibility in foggy road traffic.With this problem, two foggy estimated algorithms are proposed in this paper. In first algorithm, two iamges are used to estimate visibility togather with Atmospheric Scattering Model.The two image must be in same scene and different weather condition.The second algrithm is used one foggy image to estimate the visibility. But there are two key points in the scene,and these points have similar illuminate property.Experments show that these algrithms are effective.

Published
2010

45. An approach to on-line moisture content measuring in petroleum products

Author

Tang De-dong, Tang Hai-yan, Yan Xinping, and Mou Zhi-yu

Subjects
Petroleum product, Software, Moisture, business.industry, Capacitive sensing, Environmental science, Dielectric, Process engineering, business, Water content, Temperature measurement, Capacitance
Abstract

In view of wide difference dielectric constant between water and petroleum products, an approach to on-line moisture content measuring in petroleum products via the technique of electromagnetic resonance is proposed. In this paper, the principle of moisture content measuring is introduced in detail first, and how to design capacitive sensor and measuring circuit is followed. Finally, how to avoid the influencing factors in the measuring is dwelled upon. An on-line temperature data collecting software has been designed to build temperature error database, which has not only reduced work intensity enormously but also enhanced the measuring precision. Through experiment, it is proved that repetition error of this proposed method is less than 3%.

Published
2010

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