Name
Title | ||
|---|---|---|
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models |
Abstract | ||
|---|---|---|
•This paper proposes a reliable technique for the health prognosis of rolling element bearings.•The proposed algorithm is tested and validated on the PRONOSTIA dataset.•The proposed method shows the excellent prognostic performance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2018.02.003 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Prognosis,Regression analysis,Reliability,Preventive maintenance,Bearings,Remaining useful life | Extended Kalman filter,Induction motor,Scheduling (computing),Regression analysis,Particle filter,Bearing (mechanical),Engineering,Downtime,Preventive maintenance,Reliability engineering | Journal |
Volume | ISSN | Citations |
184 | 0951-8320 | 4 |
PageRank | References | Authors |
0.44 | 19 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Wasim | 1 | 14 | 3.88 |
| Sheraz Khan | 2 | 64 | 9.48 |
| M. M. Manjurul Islam | 3 | 18 | 3.11 |
| Jong Myon Kim | 4 | 144 | 32.36 |