Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning
Author:
Affiliation:
1. Department of Industrial & System Engineering, Rutgers University, Piscataway, New Jersey, USA
2. Department of Industrial Engineering, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2021.1977950
Reference40 articles.
1. Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions
2. Condition-based maintenance using the inverse Gaussian degradation model
3. Operation scheduling in a solar thermal system: A reinforcement learning-based framework
4. Optimal Life-Cycle Resilience Enhancement of Aging Power Distribution Systems: A MINLP-Based Preventive Maintenance Planning
5. Reliability modeling and optimal random preventive maintenance policy for parallel systems with damage self-healing
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