Name
Title | ||
|---|---|---|
Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life. |
Abstract | ||
|---|---|---|
Remaining useful life (RUL) is a critical metric in prognostics and health management (PHM) because it reflects the future health status and fault progression of products. Most RUL estimation methods are based on degradation data. In practice, due to changing degradation mechanisms during products' whole life cycle, the degradation data may consist of two or more distinct phases, and the time poin... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2018.2810284 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Degradation,Switches,Adaptation models,Estimation,State-space methods,Mathematical model,Prognostics and health management | Prognostics,Nondeterministic algorithm,Expectation–maximization algorithm,Computer science,Algorithm,Control engineering,Degradation (geology),Robustness (computer science),Recursive filter,State space | Journal |
Volume | Issue | ISSN |
15 | 2 | 1551-3203 |
Citations | PageRank | References |
2 | 0.40 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yizhen Peng | 1 | 22 | 2.00 |
| Yu Wang | 2 | 110 | 9.29 |
| Yanyang Zi | 3 | 268 | 25.13 |