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Online maintenance policy for a deteriorating system with random change of mode

机译：具有模式随机变化的恶化系统的在线维护策略

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摘要

Most of maintenance policies proposed in the literature for gradually deteriorating systems, consider a stationary deterioration process. This paper is an attempt to take into account stochastically deteriorating systems which are subject to a sudden change in their degradation process. A technical device subject to gradual degradation is considered. It is assumed that the level of degradation can be resumed by a single scalar variable. An online maintenance decision rule is proposed, which makes it possible to take into account in real time the online information available on the operating mode of the system as well as its actual deterioration level. We show the efficiency of considering online decision rules for maintenance with respect to traditional maintenance policies based on a static alarm threshold. Numerical simulations are given, to assess and optimize the performance of the maintained system from its asymptotic unavailability point of view. It is compared to the results obtained with classical control-limit maintenance policies.
机译：文献中针对系统逐渐恶化而提出的大多数维护策略都考虑了平稳的恶化过程。本文试图考虑随机退化的系统，这些系统在其降解过程中会突然发生变化。考虑了会逐渐退化的技术设备。假定可以通过单个标量变量来恢复退化程度。提出了一种在线维护决策规则，该规则可以实时考虑有关系统运行模式的可用在线信息及其实际恶化程度。我们展示了基于静态警报阈值考虑传统维护策略的在线维护维护决策规则的效率。给出了数值模拟，以从其渐近不可用性的角度评估和优化所维护系统的性能。将其与经典控制限制维护策略获得的结果进行比较。

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