针对具有依赖性竞争故障过程的串联系统的新型基于条件的机会维护政策

IF 1.7 4区工程技术 Q3 ENGINEERING, INDUSTRIAL

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability Pub Date : 2024-07-23 DOI:10.1177/1748006x241261126

Meiqi Huang, Faqun Qi, Lin Wang

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引用次数: 0

摘要

本文针对一个双组分串联系统，研究了一种基于状态的新型机会维护模型。该系统由两个非相同的部件组成，即部件 1 和部件 2，它们受到不同强度的冲击。这两个组件面临相互依存的故障过程，即软故障和硬故障。无论出现哪种失效过程，组件都会失效。每次检查时，都要根据两个部件的状况决定是否更换部件。此外，当部件 1 被预防性更换，而部件 2 达到机会维护阈值时，将对部件 2 实施机会维护（OM）。通过最小化长期预期维护成本率，得出了最佳检查间隔、预防性更换（PR）阈值和机会维护阈值。最后，通过一个示例验证了所提维护模型的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Novel condition-based opportunistic maintenance policy for series systems with dependent competing failure processes

This paper investigates a novel condition-based opportunistic maintenance model for a two-component series system. The system comprises two non-identical components, that is, Component 1 and Component 2, suffering from shocks with different intensities. The two components are subject to dependent competing failure processes, that is, soft and hard failures. The component fails whichever type of failure process occurs. At each inspection, the replacement decision for components is made according to the condition of both components. In addition, when Component 1 is preventively replaced and Component 2 reaches the opportunistic maintenance threshold, opportunistic maintenance (OM) is implemented on Component 2. The optimal inspection interval, preventive replacement (PR) threshold, and OM threshold are derived by minimizing the long-run expected maintenance cost rate. Finally, the superiority of the proposed maintenance model is verified by an illustrative example.

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来源期刊

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, INDUSTRIAL

CiteScore

4.50

自引率

19.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome