Remaining useful life based maintenance decision making for deteriorating systems with both perfect and imperfect maintenance actions

2013 IEEE Conference on Prognostics and Health Management (PHM) Pub Date : 2013-06-24 DOI:10.1109/ICPHM.2013.6621442

P. D. Van, A. Voisin, E. Levrat, B. Iung

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引用次数: 9

Abstract

This paper deals with a proactive condition-based maintenance (CBM) considering both perfect and imperfect maintenance actions for deteriorating systems. Perfect maintenance actions restore completely the system to the `as good as new' state. Their related cost are however often high. Imperfect preventive maintenance restores partially the system with reduced maintenance cost. Nevertheless, the restoration quality may depend not only on the allocated maintenance cost, the system age but also on the total number of imperfect maintenance actions executed since the last replacement time of the system. The first objective of the paper is to model imperfect maintenance actions. The second objective is to propose an adaptive maintenance policy which can help to select optimally maintenance actions (perfect or imperfect actions), if needed, at each inspection time using the remaining useful life (RUL) prognosis. To illustrate the use and the advantages of the proposed maintenance policy, different sensitivity studies are analyzed and discussed through a numerical example.

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基于剩余使用寿命的完善和不完善维护系统的维护决策

本文研究了一种基于状态的主动维修(CBM)方法，该方法考虑了退化系统的完美和不完美维修行为。完美的维护操作将系统完全恢复到“与新一样好”的状态。然而，它们的相关成本往往很高。不完善的预防性维护可以在降低维护成本的情况下部分恢复系统。然而，恢复质量可能不仅取决于分配的维护成本、系统年龄，还取决于自系统最后一次更换时间以来执行的不完善维护操作的总数。本文的第一个目标是对不完善的维护行为进行建模。第二个目标是提出一种适应性维护策略，如果需要，可以使用剩余使用寿命(RUL)预测在每次检查时帮助选择最佳维护操作(完美或不完美的操作)。为了说明所提出的维护策略的使用和优点，通过数值算例对不同的灵敏度研究进行了分析和讨论。

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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2013 IEEE Conference on Prognostics and Health Management (PHM)

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