Remaining Useful Life Prediction of Rolling Element Bearings Based on Different Degradation Stages and Particle Filter : = Remaining Useful Life Prediction of Rolling Element Bearings Based on Different Degradation Stages and Particle Filter
A method is proposed to improve the accuracy of remaining useful life prediction for rolling element bearings,based on a state space model(SSM)with different degradation stages and a particle filter. The model is improved by a method based on the Paris formula and the Foreman formula allowing the establishment of different degradation stages. The remaining useful life of rolling element bearings can be predicted by the adjusted model with inputs of physical data and operating status information. The late operating trend is predicted by the use of the particle filter algorithm. The rolling bearing full life experimental data validate the proposed method. Further,the prediction result is compared with the single SSM and the Gamma model,and the results indicate that the predicted accuracy of the proposed method is higher with better practicability..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019-06-15 2019 |
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| Erschienen: |
2019-06-15 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2019 |
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| Enthalten in: |
Transactions of Nanjing University of Aeronautics & Astronautics - (2019), 03 vom: 15. Juni, Seite 432-441 Original Letters: Enthalten in (DE-576)350866694 (DE-576)350866694 |
| Reihe: |
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| Sprache: |
Chinesisch |
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| Weiterer Titel: |
Remaining Useful Life Prediction of Rolling Element Bearings Based on Different Degradation Stages and Particle Filter |
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| Beteiligte Personen: |
LI Qing [VerfasserIn] |
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| Links: |
oversea.cnki.net [lizenzpflichtig] |
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| Anmerkungen: |
Author info:LI Qing;MA Bo;LIU Jiameng;Beijing Key Laboratory of High?End Mechanical Equipment Health Monitoring and Self?recovery,Beijing University of Chemical Technology |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
CAJ634872338 |
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| 500 | |a Author info:LI Qing;MA Bo;LIU Jiameng;Beijing Key Laboratory of High?End Mechanical Equipment Health Monitoring and Self?recovery,Beijing University of Chemical Technology | ||
| 520 | |a A method is proposed to improve the accuracy of remaining useful life prediction for rolling element bearings,based on a state space model(SSM)with different degradation stages and a particle filter. The model is improved by a method based on the Paris formula and the Foreman formula allowing the establishment of different degradation stages. The remaining useful life of rolling element bearings can be predicted by the adjusted model with inputs of physical data and operating status information. The late operating trend is predicted by the use of the particle filter algorithm. The rolling bearing full life experimental data validate the proposed method. Further,the prediction result is compared with the single SSM and the Gamma model,and the results indicate that the predicted accuracy of the proposed method is higher with better practicability. | ||
| 610 | 2 | 4 | |a Beijing Key Laboratory of High?End Mechanical Equipment Health Monitoring and Self?recovery,Beijing University of Chemical Technology |
| 650 | 4 | |a 机械零件及传动装置 | |
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| 650 | 4 | |a remaining useful life prediction of rolling element bearing | |
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