Name
Title | ||
|---|---|---|
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. |
Abstract | ||
|---|---|---|
•A state-space model based method is proposed to predict RUL under time-varying operating conditions.•Two factors are analyzed separately: changes in degradation rate and jumps in degradation signals.•A time-scale transformation is applied to a Wiener process to describe the time-varying degradation rates.•A signal transformation function is applied to smooth the jumps in degradation signals. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2019.02.017 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Prognostic degradation modeling,Remaining useful life prediction,Time-varying operating conditions,State-space model | Control theory,State-space representation,Degradation (geology),Bearing (mechanical),Industrial Internet,Rotational speed,Engineering,Vibration,Transition function,Reliability engineering | Journal |
Volume | ISSN | Citations |
186 | 0951-8320 | 4 |
PageRank | References | Authors |
0.53 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naipeng Li | 1 | 200 | 11.20 |
| N. Gebraeel | 2 | 435 | 41.03 |
| Yaguo Lei | 3 | 602 | 38.50 |
| Linkan Bian | 4 | 32 | 6.13 |
| Xiao-Sheng Si | 5 | 623 | 46.17 |