Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining
To deal with the problem of weak prediction and performance evaluation capabilities of traditional prediction and evaluation methods, a method of health state prediction and performance evaluation of belt conveyor based on Dynamic Bayesian Network (DBN) is proposed. First, the belt conveyor sensor m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/6699611 |
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| _version_ | 1832568574132092928 |
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| author | Xiangong Li Yuzhi Zhang Yu Li Yujie Zhan Lin Yang |
| author_facet | Xiangong Li Yuzhi Zhang Yu Li Yujie Zhan Lin Yang |
| author_sort | Xiangong Li |
| collection | DOAJ |
| description | To deal with the problem of weak prediction and performance evaluation capabilities of traditional prediction and evaluation methods, a method of health state prediction and performance evaluation of belt conveyor based on Dynamic Bayesian Network (DBN) is proposed. First, the belt conveyor sensor monitoring data are preprocessed to obtain the feature data set with labels. At the same time, qualitative and quantitative analyses and interval discretization are carried out from belt conveyor fault-causing elements to construct the DBN network. Then, the sample data are applied to the DBN network for training, and the DBN-based prediction and performance evaluation model is established. Finally, taking the real-time monitoring data of a belt conveyor in an underground mine as an example, a DBN-based belt conveyor health prediction and evaluation model is constructed to evaluate and predict the health of the equipment. The results show that the model could identify different operating conditions and failure modes and further improves the prediction accuracy. |
| format | Article |
| id | doaj-art-6d0fdc6d5b6f49c08581780a7d50a731 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-6d0fdc6d5b6f49c08581780a7d50a7312025-02-03T00:58:47ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66996116699611Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground MiningXiangong Li0Yuzhi Zhang1Yu Li2Yujie Zhan3Lin Yang4School of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Industrial and Business Management, Xuzhou College of Industrial Technology, Xuzhou 221116, ChinaSchool of Business Administration, Nanjing University of Finance and Economics, Nanjing 210023, ChinaTo deal with the problem of weak prediction and performance evaluation capabilities of traditional prediction and evaluation methods, a method of health state prediction and performance evaluation of belt conveyor based on Dynamic Bayesian Network (DBN) is proposed. First, the belt conveyor sensor monitoring data are preprocessed to obtain the feature data set with labels. At the same time, qualitative and quantitative analyses and interval discretization are carried out from belt conveyor fault-causing elements to construct the DBN network. Then, the sample data are applied to the DBN network for training, and the DBN-based prediction and performance evaluation model is established. Finally, taking the real-time monitoring data of a belt conveyor in an underground mine as an example, a DBN-based belt conveyor health prediction and evaluation model is constructed to evaluate and predict the health of the equipment. The results show that the model could identify different operating conditions and failure modes and further improves the prediction accuracy.http://dx.doi.org/10.1155/2021/6699611 |
| spellingShingle | Xiangong Li Yuzhi Zhang Yu Li Yujie Zhan Lin Yang Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining Shock and Vibration |
| title | Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining |
| title_full | Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining |
| title_fullStr | Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining |
| title_full_unstemmed | Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining |
| title_short | Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining |
| title_sort | health state prediction and performance evaluation of belt conveyor based on dynamic bayesian network in underground mining |
| url | http://dx.doi.org/10.1155/2021/6699611 |
| work_keys_str_mv | AT xiangongli healthstatepredictionandperformanceevaluationofbeltconveyorbasedondynamicbayesiannetworkinundergroundmining AT yuzhizhang healthstatepredictionandperformanceevaluationofbeltconveyorbasedondynamicbayesiannetworkinundergroundmining AT yuli healthstatepredictionandperformanceevaluationofbeltconveyorbasedondynamicbayesiannetworkinundergroundmining AT yujiezhan healthstatepredictionandperformanceevaluationofbeltconveyorbasedondynamicbayesiannetworkinundergroundmining AT linyang healthstatepredictionandperformanceevaluationofbeltconveyorbasedondynamicbayesiannetworkinundergroundmining |