Condition-Based Maintenance Decision-Making for Multi-Component Systems with Integrated Dynamic Bayesian Network and Proportional Hazards Model

A condition-based maintenance decision-making framework for multi-component systems is proposed in this work by integrating dynamic Bayesian network (DBN) with proportional hazards model (PHM). The framework is designed to address the challenge of handling mixed failure types and complex failure dep...

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Autori principali:	Shizheng Li, Canjiong Yao, Pengfei Xu, Jinyan Guo, Guoqing Wang, Jing Tang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-12-01
Serie:	Applied Sciences
Soggetti:	multi-component systems maintenance decision-making Bayesian network proportional hazards model Markov decision processes
Accesso online:	https://www.mdpi.com/2076-3417/15/23/12793
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