Title | ||
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A Deep Reinforcement Learning Approach to Dynamic Loading Strategy of Repairable Multistate Systems |
Abstract | ||
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As multistate system (MSS) reliability models can characterize the multistate deteriorating nature of engineering systems, they have received considerable attention in the past decade. The states of a multistate system/component can be distinguished by its performance capacity, which deteriorates over time and can be restored by maintenance activities. On the other hand, the deterioration of a sys... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TR.2020.3044596 | IEEE Transactions on Reliability |
Keywords | DocType | Volume |
Maintenance engineering,Optimization,Loading,Load modeling,Reinforcement learning,Heuristic algorithms,Acceleration | Journal | 71 |
Issue | ISSN | Citations |
1 | 0018-9529 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yiming Chen | 1 | 187 | 22.75 |
Yu Liu | 2 | 190 | 19.09 |
Tangfan Xiahou | 3 | 2 | 2.73 |