Maintenance optimization of a two‐component series system considering masked causes of failure

Hu, Jiawen, Huang, Yun, and Shen, Lijuan (2024) Maintenance optimization of a two‐component series system considering masked causes of failure. Quality and Reliability Engineering International, 40 (1). pp. 388-405.

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Abstract

Maintenance planning of two-component systems has been extensively studied in recent decades. In the literature, most studies assume that the failure cause of a two-component system is self-announcing. In some real applications, the failure cause is masked, and a diagnosis with professional equipment is needed to reveal the failed component. This study investigates a preventive replacement policy of a two-component series system considering masked causes of failure. When an unexpected failure occurs, we can carry out a diagnosis to reveal the failed component and replace it subsequently, or we can directly replace the whole system without diagnosis. Meanwhile, when we carry out a preventive replacement on a component, the other component can be replaced opportunistically. We formulate the problem as a semi-Markov decision process, and prove the existence of the stationary optimal policy. The optimal preventive replacement age thresholds for each component and the corresponding optimal maintenance actions upon each failure are jointly obtained to minimize the long-term average maintenance cost per time unit. A comprehensive numerical study is provided to illustrate the effectiveness of our proposed model.

Item ID: 93141
Item Type: Article (Research - C1)
ISSN: 1099-1638
Copyright Information: © 2023 John Wiley & Sons Ltd
Date Deposited: 11 Aug 2026 23:36
FoR Codes: 49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490108 Operations research @ 70%
40 ENGINEERING > 4010 Engineering practice and education > 401006 Systems engineering @ 30%
SEO Codes: 24 MANUFACTURING > 2412 Machinery and equipment > 241204 Industrial machinery and equipment @ 100%
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