Name
Title | ||
|---|---|---|
Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter |
Abstract | ||
|---|---|---|
Rolling bearings are the key components of rotating machinery. Thus, the prediction of remaining useful life (RUL) is vital in condition-based maintenance (CBM). This paper proposes a new method for RUL prediction of bearings based on time-varying Kalman filter, which can automatically match different degradation stages of bearings and effectively realize the prediction of RUL. The evolution of mo... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIM.2019.2924509 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Degradation,Kalman filters,Rolling bearings,Predictive models,Pollution measurement,Adaptation models,Data models | Journal | 69 |
Issue | ISSN | Citations |
6 | 0018-9456 | 2 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lingli Cui | 1 | 27 | 8.96 |
| Wang Q. X. | 2 | 138 | 19.02 |
| Huaqing Wang | 3 | 2 | 0.38 |
| Jianfeng Ma | 4 | 340 | 40.21 |