Name
Title | ||
|---|---|---|
Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation |
Abstract | ||
|---|---|---|
•Construct the general form of model in the time space.•Demonstrate the sequential estimation and prediction of failure time.•Introduce the concept of “Mean Reach Time” for failure time.•Bridge the gap between existing definitions of First Pass Time and Last Exit Time. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ress.2022.108686 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Time space modelling,Prognosis and health management,Uncertainty management,Lebesgue sampling,Mean Reach Time | Journal | 226 |
ISSN | Citations | PageRank |
0951-8320 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongzhen Lyu | 1 | 0 | 0.34 |
| Guangxing Niu | 2 | 4 | 4.15 |
| Enhui Liu | 3 | 0 | 2.03 |
| Bin Zhang | 4 | 0 | 0.34 |
| Gang Chen | 5 | 1 | 0.69 |
| Tao Yang | 6 | 160 | 76.32 |
| Enrico Zio | 7 | 1100 | 145.38 |