Name
Title | ||
|---|---|---|
A Prognostic Model for Stochastic Degrading Systems With State Recovery: Application to Li-Ion Batteries. |
Abstract | ||
|---|---|---|
Many industrial systems inevitably suffer performance degradation. Thus, predicting the remaining useful life (RUL) for such degrading systems has attracted significant attention in the prognostics community. For some systems like batteries, one commonly encountered phenomenon is that the system performance degrades with usage and recovers in storage. However, almost all of the current prognostic ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TR.2017.2742298 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Degradation,Stochastic processes,Numerical models,Performance evaluation,Prognostics and health management,Markov processes | Diffusion process,Prognostics,Industrial systems,Stochastic process,Degradation (geology),Condition monitoring,Hitting time,Mathematics,Reliability engineering,Piecewise | Journal |
Volume | Issue | ISSN |
66 | 4 | 0018-9529 |
Citations | PageRank | References |
7 | 0.67 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zheng-Xin Zhang | 1 | 119 | 9.12 |
| Xiao-Sheng Si | 2 | 623 | 46.17 |
| Chang-Hua Hu | 3 | 483 | 31.18 |
| Michael G. Pecht | 4 | 380 | 44.63 |