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Prognostics of rolling element bearings with the combination of Paris law and reliability method

Behzad, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/PHM.2017.8079187
  3. Abstract:
  4. In this research, a combination of the physical model based on Paris law and probability method is proposed for remaining useful life prediction of rolling element bearings. Level crossing is used as a feature that represents a linear relationship with defect size. Considering this linear relationship and using Paris law, a new model has been developed for bearings that follow degradation pattern with two stages. In this pattern, a bearing starts working in the healthy condition. Then it starts slow degradation stage and finally it goes to fast degradation stage until it reaches to the failure threshold. Considering a normal distribution for transition point from the slow degradation to the fast degradation stage, the model proposed in this article presents a probability distribution for the remaining useful life at any working point in slow degradation stage. In addition, the model presents a good and accurate prediction results in the fast degradation stage. The bearing run-to-failure vibration condition monitoring record is used for investigating the purpose of this study. © 2017 IEEE
  5. Keywords:
  6. Bearing ; Prognostics ; Bearings (machine parts) ; Bearings (structural) ; Condition monitoring ; Degradation ; Normal distribution ; Probability distributions ; Railroad crossings ; Reliability ; Systems engineering ; Level crossing ; Linear relationships ; Paris law ; Prognostics ; Remaining useful life predictions ; Remaining useful lives ; Rolling element bearing ; Vibration condition monitoring ; Roller bearings
  7. Source: 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings, 9 July 2017 through 12 July 2017 ; 2017 ; 9781538603703 (ISBN)
  8. URL: https://ieeexplore.ieee.org/document/8079187