Deep Reinforcement Learning for Dynamic Opportunistic Maintenance of Multi-Component Systems With Load Sharing

Opportunistic maintenance (OM), which shows its superiority on complex multi-component systems by integrating the maintenance activities of multiple components to reduce the maintenance cost, has been widely studied over the past decade. To our knowledge, most of the existing OM works are developed...

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Veröffentlicht in:	IEEE transactions on reliability 2023-09, Vol.72 (3), p.863-877
Hauptverfasser:	Zhang, Chen, Li, Yan-Fu, Coit, David W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Costs Deep learning Deep reinforcement learning (DRL) Degradation Feedwater Hazards imperfect maintenance Inspection Load modeling Load sharing Machine learning Maintenance costs Maintenance engineering mixed action space Nuclear power plants opportunistic maintenance (OM) Optimization Optimization techniques System reliability
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