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This article describes a method of obtaining data from the examination of an impact process by capturing it with a TroubleShooter TSHRMM high-speed camera and evaluating the results of a video analysis of the impact of the load on a conveyor belt using MiDAS Player version 5.0.0.3. By using the conveyor belt deflection obtained from the video analysis and the visual damage to the conveyor belt from an impactor, damage classification models were created. This model was created for two groups of experiments that took place without the presence of a support system and with the presence of a support system, respectively. The experimental research included monitoring the deflection of the conveyor belt and the degree of damage to the conveyor belt from the selected parameters. [ABSTRACT FROM AUTHOR]

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Abstract In real operations, the requirements on conveyor belts are very high and are constantly increasing. They mainly regard high wear resistance and resistance to the effects of the transported material, long service life, high longitudinal strength, low weight, etc. The main purpose of the present paper is the classification of the damage to rubber-textile conveyor belts that occurs due to the impact of the transported material (at the impact of the material onto a conveyor belt at the chute). The experimental research was focused on the three types of conveyor belts of various internal structures, on the impact height, and the type of the material falling onto a conveyor belt and effects thereof on the incurred damage. The damage classification was carried out using two different models. The models were created using the classification tree and the multiple regression analysis. The models were created using the training set of 48 conveyor belt samples. The accuracy and predictive ability of the models were verified using the testing set of 16 conveyor belt samples. Highlights • Experimental research of the rubber-textile conveyor belt damage by impact loading. • Analysis and classification of damage occurrence. • Analysis of the damage occurrence using classification models. [ABSTRACT FROM AUTHOR]

Measurements of the dynamic load of conveyor belts of identical strengths were used to evaluate and compare the data for belts with and without a support system. The goal was to identify the effects of the support system in terms of a relative amount of impact energy absorbed by a conveyor belt. A dynamic model was designed based on selected parameters of the impact process. Damage to conveyor belts, caused by the absorption of impact energy, was evaluated using the applied methods of mathematical statistics. [ABSTRACT FROM AUTHOR]

• Experimental investigation into the damage to rubber-textile conveyor belts, type P2500/4 (new and renovated); • Identification of the conveyor belt damage degree; • Creation of classification models and a comparison of their quality and accuracy. This article presents the results of experimental research on belt conveyance systems. The main objective was to identify the correlations between the occurrence of significant damage in rubber-textile conveyor belts and the selected parameters (the type of falling material and the impact height). The conveyor belt specimens used in the experimental research were extracted from both a new and a renovated conveyor belt. Within the experimental research, four classification models were created, while the conveyor belt specimens used in the predefined experimental conditions were classified by assigning them to one of the two determined degrees of damage (significant or insignificant damage). The classification models were created by applying several machine learning methods, such as a regression analysis, logistic regression, decision trees, and the Naïve Bayes classifier. The quality of the models was verified using the training and testing groups and three coefficients (overall accuracy, Kappa coefficient and AUC). An analysis of the results indicated that the type of falling material and the impact height had significant effects on the degree of conveyor belt damage, regardless of the conveyor belt type (new or renovated). An evaluation of the models indicated that all the designed classification models provided similar results. As for the quality coefficients, the classification models that were created by applying the decision tree and the Naïve Bayes classifier exhibited the best classification and prediction abilities. [ABSTRACT FROM AUTHOR]

Highlights: [•] Mutual comparison results of shock force determined by experimental research and regression analysis. [•] Recalculation the sizes of the shock or tension force by interpolation. [•] Determination of the boundary value of the impact energy. [•] Failure analysis of inner structure – carcass and cover layers of conveyor belt. [Copyright &y& Elsevier]

Highlights: [•] Failure analysis of inner structure – damaged conveyor belt carcass. [•] Determination of impact duration, size of impact energy and energy absorbed by the belt. [•] Damages are analyzed in terms of cross section planes, local defects and their frequency. [•] Analysis of inner structure of conveyor belt by non-destructive method by computer metrotomography. [Copyright &y& Elsevier]