Name
Abstract | ||
|---|---|---|
•Separating the contributions of aleatory and epistemic uncertainty in prognostics.•Uncertainty in prognostics is managed by suggesting a proper measurement schedule.•Data measurement is scheduled to reduce the epistemic uncertainty to the desired level.•Approaches based on model-based and data-driven prognostics are proposed. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ress.2022.108391 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Uncertainty reduction,Prognostics,Data measurement,Inspection schedule,Epistemic,Aleatory | Journal | 222 |
ISSN | Citations | PageRank |
0951-8320 | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seokgoo Kim | 1 | 1 | 0.35 |
| Joo-Ho Choi | 2 | 1 | 0.35 |
| Nam-ho Kim | 3 | 16 | 3.27 |