Name
Abstract | ||
|---|---|---|
Due to the inner deteriorating mechanism or the mutant environmental stress, the degradation systems with multi-phase features have frequently been encountered in engineering practice. The key issue for prognostics of such systems is to account for the impact of the changing-point variability and the associated degradation state at this point on the progression of the degradation process. However, current studies usually treat the degradation state at the change point as a fixed value rather a random variable. Thus, it is still challenging to predict the lifetime of such multi-phase degrading systems. To this end, we first formulate a general degradation modeling framework based on a two-phase Wiener process. In prognostics, we take into full account the uncertainty of the degradation state at the changing point and then derive the analytical expressions of the lifetime and remaining useful life under the concept of the first passage time. The derived results are distinguished from existing results limited to the fixed state at the changing point. Furthermore, we extend our approach and results to cases with unit-to-unit variability and multiple phases. To facilitate the model implementation, we propose both offline and online methods for parameter identification, which make full use of the historical data and the in-service data. Finally, a numerical simulation and a practical case study are provided for illustration. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/tr.2018.2829844 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Degradation,Estimation,Data models,Uncertainty,Probability density function,Automation,Standards | Wiener process,Data modeling,Mathematical optimization,Random variable,Expression (mathematics),Prognostics,Computer simulation,Probability density function,First-hitting-time model,Reliability engineering,Mathematics | Journal |
Volume | Issue | ISSN |
68 | 2 | 0018-9529 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian-Xun Zhang | 1 | 49 | 6.42 |
| Chang-Hua Hu | 2 | 483 | 31.18 |
| Xiao He | 3 | 605 | 44.59 |
| Xiao-Sheng Si | 4 | 623 | 46.17 |
| Yang Liu | 5 | 120 | 9.72 |
| Dong-Hua Zhou | 6 | 1833 | 129.73 |