Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment
Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health management (PHM) in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8847703 |
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| author | Zhan Gao Qi-guo Hu Xiang-yang Xu |
| author_facet | Zhan Gao Qi-guo Hu Xiang-yang Xu |
| author_sort | Zhan Gao |
| collection | DOAJ |
| description | Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health management (PHM) in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization (EM) algorithm to estimate the prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models. |
| format | Article |
| id | doaj-art-d276a388e8b0462c8dbf06d48dc79512 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d276a388e8b0462c8dbf06d48dc795122025-08-20T03:24:08ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88477038847703Residual Lifetime Prediction with Multistage Stochastic Degradation for EquipmentZhan Gao0Qi-guo Hu1Xiang-yang Xu2Department of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaDepartment of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaDepartment of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaResidual useful lifetime (RUL) prediction plays a key role of failure prediction and health management (PHM) in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization (EM) algorithm to estimate the prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models.http://dx.doi.org/10.1155/2020/8847703 |
| spellingShingle | Zhan Gao Qi-guo Hu Xiang-yang Xu Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment Complexity |
| title | Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment |
| title_full | Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment |
| title_fullStr | Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment |
| title_full_unstemmed | Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment |
| title_short | Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment |
| title_sort | residual lifetime prediction with multistage stochastic degradation for equipment |
| url | http://dx.doi.org/10.1155/2020/8847703 |
| work_keys_str_mv | AT zhangao residuallifetimepredictionwithmultistagestochasticdegradationforequipment AT qiguohu residuallifetimepredictionwithmultistagestochasticdegradationforequipment AT xiangyangxu residuallifetimepredictionwithmultistagestochasticdegradationforequipment |