DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component
Residual useful life (RUL) prediction is significant for condition-based maintenance. Traditional data-driven RUL prediction method can only predict fault trend of the system rather than RUL of a specific system component. Thus it cannot tell the operator which component should be maintained. The in...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/8492139 |
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| _version_ | 1832558035096043520 |
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| author | Funa Zhou Jiayu Wang Yulin Gao |
| author_facet | Funa Zhou Jiayu Wang Yulin Gao |
| author_sort | Funa Zhou |
| collection | DOAJ |
| description | Residual useful life (RUL) prediction is significant for condition-based maintenance. Traditional data-driven RUL prediction method can only predict fault trend of the system rather than RUL of a specific system component. Thus it cannot tell the operator which component should be maintained. The innovation of this paper is as follows: (1) Wavelet filtering based method is developed for early detection of slowly varying fault. (2) Designated component analysis is introduced as a feature extraction tool to define the fault precursor of a specific component. (3) Exponential life prediction model is established by nonlinear fitting of the historical RUL and the fault size characterized by the statistics used. Once online detection statistics is obtained, real-time RUL of the critical component can be predicted online. Simulation shows the effectiveness of this algorithm. |
| format | Article |
| id | doaj-art-5f73d57ada9c454ca8f06fa0e460944d |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-5f73d57ada9c454ca8f06fa0e460944d2025-02-03T01:33:23ZengWileyJournal of Control Science and Engineering1687-52491687-52572017-01-01201710.1155/2017/84921398492139DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty ComponentFuna Zhou0Jiayu Wang1Yulin Gao2School of Computer and Information Engineering, Henan University, Kaifeng, ChinaSchool of Computer and Information Engineering, Henan University, Kaifeng, ChinaSchool of Computer and Information Engineering, Henan University, Kaifeng, ChinaResidual useful life (RUL) prediction is significant for condition-based maintenance. Traditional data-driven RUL prediction method can only predict fault trend of the system rather than RUL of a specific system component. Thus it cannot tell the operator which component should be maintained. The innovation of this paper is as follows: (1) Wavelet filtering based method is developed for early detection of slowly varying fault. (2) Designated component analysis is introduced as a feature extraction tool to define the fault precursor of a specific component. (3) Exponential life prediction model is established by nonlinear fitting of the historical RUL and the fault size characterized by the statistics used. Once online detection statistics is obtained, real-time RUL of the critical component can be predicted online. Simulation shows the effectiveness of this algorithm.http://dx.doi.org/10.1155/2017/8492139 |
| spellingShingle | Funa Zhou Jiayu Wang Yulin Gao DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component Journal of Control Science and Engineering |
| title | DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component |
| title_full | DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component |
| title_fullStr | DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component |
| title_full_unstemmed | DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component |
| title_short | DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component |
| title_sort | dca based real time residual useful life prediction for critical faulty component |
| url | http://dx.doi.org/10.1155/2017/8492139 |
| work_keys_str_mv | AT funazhou dcabasedrealtimeresidualusefullifepredictionforcriticalfaultycomponent AT jiayuwang dcabasedrealtimeresidualusefullifepredictionforcriticalfaultycomponent AT yulingao dcabasedrealtimeresidualusefullifepredictionforcriticalfaultycomponent |