Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters

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 : 2022-11-30 DOI:10.1177/1748006X221134132

Franck Corset, M. Fouladirad, C. Paroissin

引用次数: 1

Abstract

A system subject to degradation is considered. The degradation is modelled by a gamma process. A condition-based maintenance policy with perfect corrective and an imperfect preventive actions is proposed. The maintenance cost is derived considering a Markov-renewal process. The statistical inference of the degradation and maintenance parameters by the maximum likelihood method is investigated. A sensibility analysis to different parameters is carried out and the perspectives are detailed.

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存在未知参数的伽马退化过程的不完善的基于状态的维护

考虑一个易退化的系统。这种退化是用伽马过程来模拟的。提出了一种完善的纠正措施和不完善的预防措施的状态维修策略。考虑马尔可夫更新过程，得出了维护成本。用极大似然法研究了退化参数和维修参数的统计推断。对不同参数的敏感性进行了分析，并给出了详细的展望。

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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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