Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

Citations

Cited by:

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11. Guo, Yuanyuan & Sun, Youchao & Si, Qingmin & Guo, Xinyao & Chen, Nongtian, 2025. "Probabilistic risk assessment of civil aircraft associated failures under condition-based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
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16. Pliego Marugán, Alberto & Pinar-Pérez, Jesús M. & García Márquez, Fausto Pedro, 2024. "A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
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18. Kıvanç, İpek & Özgür-Ünlüakın, Demet & Bilgiç, Taner, 2022. "Maintenance policy analysis of the regenerative air heater system using factored POMDPs," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
19. Azar, Kamyar & Hajiakhondi-Meybodi, Zohreh & Naderkhani, Farnoosh, 2022. "Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
20. Ashmita Bhattacharya & Konstantinos G. Papakonstantinou & Gordon P. Warn & Lauren McPhillips & Melissa M. Bilec & Chris E. Forest & Rahaf Hasan & Digant Chavda, 2025. "Optimal life-cycle adaptation of coastal infrastructure under climate change," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
21. Tseremoglou, Iordanis & Santos, Bruno F., 2024. "Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
22. Kamariotis, Antonios & Tatsis, Konstantinos & Chatzi, Eleni & Goebel, Kai & Straub, Daniel, 2024. "A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
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