An adaptive predictive maintenance model for repairable deteriorating systems using inverse Gaussian degradation process

• Published in: Reliability engineering & system safety Vol. 213; p. 107695
• Main Author: Huynh, K.T.
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.09.2021; Elsevier BV; Elsevier
• Subjects: Adaptive maintenance decision; Benchmarks; Comparative studies; Computer Science; Cost analysis; Decision analysis; Decision making; Decision theory; Degradation; Engineering Sciences; Gaussian process; Imperfect repair; Inspection; Inverse Gaussian process; Maintenance costs; Mathematics; Modeling and Simulation; Other; Performance evaluation; Predictive maintenance; Probability; Reliability engineering; Remaining useful life; Semi-regenerative process; Adaptive maintenance decision; Imperfect repair; Semi-regenerative process; Remaining useful life; Inverse Gaussian process; Predictive maintenance

Predictive maintenance is a promising solution to keep the long-run operation of industrial systems at high reliability and low cost. In this spirit, we aim to develop an adaptive predictive maintenance model for continuously deteriorating single-unit systems subject to periodic inspection, imperfec...