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arXiv · 1902.03495

Evaluating reliability of complex systems for Predictive maintenance

Dongjin Lee·Rong Pan
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Abstract

Predictive Maintenance (PdM) can only be implemented when the online knowledge of system condition is available, and this has become available with deployment of on-equipment sensors. To date, most studies on predicting the remaining useful lifetime of a system have been focusing on either single-component systems or systems with deterministic reliability structures. This assumption is not applicable on some realistic problems, where there exist uncertainties in reliability structures of complex systems. In this paper, a PdM scheme is developed by employing a Discrete Time Markov Chain (DTMC) for forecasting the health of monitored components and a Bayesian Network (BN) for modeling the multi-component system reliability. Therefore, probabilistic inferences on both the system and its components status can be made and PdM can be scheduled on both levels.

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Dongjin Lee, Rong Pan. 2019-02-09. Evaluating reliability of complex systems for Predictive maintenance. https://arxiv.org/abs/1902.03495

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