Name
Title | ||
|---|---|---|
A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs. |
Abstract | ||
|---|---|---|
A modeling and optimization framework for the maintenance of systems under epistemic uncertainty is presented in this paper. The component degradation processes, the condition-based preventive maintenance, and the corrective maintenance are described through piecewise-deterministic Markov processes in consideration of degradation dependence among degradation processes. Epistemic uncertainty associ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TII.2017.2743820 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Degradation,Maintenance engineering,Uncertainty,Optimization,Inspection,Reliability,Stochastic processes | Mathematical optimization,Uncertainty quantification,Markov process,Computer science,Differential evolution,Control engineering,Optimal maintenance,Corrective maintenance,Optimization problem,Preventive maintenance,Maintenance engineering | Journal |
Volume | Issue | ISSN |
14 | 1 | 1551-3203 |
Citations | PageRank | References |
2 | 0.41 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan-Hui Lin | 1 | 50 | 4.03 |
| Y. F. Li | 2 | 422 | 29.24 |
| Enrico Zio | 3 | 742 | 57.86 |