Name
Title | ||
|---|---|---|
A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models. |
Abstract | ||
|---|---|---|
Rolling element bearings cause the largest number of failures in induction motors. Predicting an impending failure and estimating the remaining useful life (RUL) of a bearing is essential for scheduling maintenance and avoiding abrupt shutdowns of critical systems. This paper presents a hybrid technique for bearing prognostics that utilizes regression-based adaptive predictive models to learn the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIE.2017.2733487 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Degradation,Estimation,Predictive models,Linear regression,Fluctuations,Prognostics and health management,Mathematical model | Induction motor,Regression,Prognostics,Scheduling (computing),Control engineering,Bearing (mechanical),Engineering,Reliability engineering,Linear regression | Journal |
Volume | Issue | ISSN |
65 | 2 | 0278-0046 |
Citations | PageRank | References |
3 | 0.39 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Wasim | 1 | 14 | 3.88 |
| Sheraz Khan | 2 | 64 | 9.48 |
| Jong Myon Kim | 3 | 144 | 32.36 |