Name
Abstract | ||
|---|---|---|
Prognostics of the remaining useful life (RUL) has emerged as a critical technique for ensuring the safety, availability, and efficiency of a complex system. To gain a better prognostic result, degradation information is quite useful because it can reflect the health status of a system. However, due to the lack of accurate information about the plants' degradation, the prognostic model is usually ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TII.2016.2535368 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Degradation,Estimation,Feature extraction,Vibrations,Prognostics and health management,Time-domain analysis,Kalman filters | Data-driven,Prognostics,Computer science,Degradation Problem,Bearing (mechanical),Kalman filter,Feature extraction,Reliability engineering | Journal |
Volume | Issue | ISSN |
12 | 3 | 1551-3203 |
Citations | PageRank | References |
20 | 0.92 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Wang | 1 | 29 | 3.82 |
| Yizhen Peng | 2 | 22 | 2.00 |
| Yanyang Zi | 3 | 268 | 25.13 |
| Xiaohang Jin | 4 | 49 | 3.92 |
| K. Leung | 5 | 487 | 67.33 |