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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Principais autores:	Shizheng Li, Canjiong Yao, Pengfei Xu, Jinyan Guo, Guoqing Wang, Jing Tang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-12-01
סדרה:	Applied Sciences
נושאים:	multi-component systems maintenance decision-making Bayesian network proportional hazards model Markov decision processes
גישה מקוונת:	https://www.mdpi.com/2076-3417/15/23/12793
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