Name
Abstract | ||
|---|---|---|
•Developing a predictive model for selective maintenance optimization.•Using long short-term memory network to estimate the remaining useful lifetime.•Data-driven selective maintenance is better than model-based.•Imperfect vs perfect preventive maintenance in predictive selective maintenance. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ress.2021.108191 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Remaining useful life,Deep learning,Predictive models,Selective maintenance,Optimization | Journal | 219 |
ISSN | Citations | PageRank |
0951-8320 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadis Hesabi | 1 | 0 | 0.34 |
| Mustapha Nourelfath | 2 | 0 | 0.68 |
| Adnène Hajji | 3 | 0 | 0.34 |