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Optimal inspection-based preventive maintenance policy for three-state mechanical components under competing failure modes

机译:竞争故障模式下基于最优检查的三态机械零件预防性维护策略

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摘要

The degradation of mechanical components is non-stationary and their degradation level can only be detected through offline discrete inspection in most cases. Aiming at the effect of the non-stationary feature and the delay of state detection caused by discrete inspection on long-run operation cost, this paper focuses on proposing an optimal inspection-based maintenance policy for three-state mechanical components subject to competing failure modes. A double-Wiener-process degradation model is established to describe the two operation states, which includes two Wiener process models under the same law but with different parameters. In addition, a preventive maintenance policy including a degradation threshold, an age threshold and a degradation control limit are adopted. A five-scenario probability-based model is proposed to describe the state evolution during one inspection interval and then the analytical model of the impact of delay on detecting state-transition and degradation-level on preventive maintenance policy is proposed. An optimization model of an inspection-based maintenance is established. Finally, sensitivity analysis in terms of the decision variables for state-transition time distribution and parameters in wear-out state is carried out based on numerical examples and the efficiency and superiority of the proposed policy is demonstrated by comparing with the current two-state maintenance policy. (C) 2016 Elsevier Ltd. All rights reserved.
机译:机械组件的退化是不稳定的,在大多数情况下,只能通过离线离散检查来检测其退化水平。针对离散化检查带来的非平稳性和状态检测延迟对长期运行成本的影响,本文着重提出针对竞争性失效模式的三态机械零件基于检查的最优维护策略。 。建立了双重维纳过程退化模型来描述两种运行状态,其中包括两个维纳过程模型在相同的规律下但参数不同。另外,采用包括劣化阈值,年龄阈值和劣化控制极限的预防性维护策略。提出了一种基于五种场景的概率模型来描述一个检查间隔内状态的演变,然后提出了延迟对检测状态转换和退化水平对预防性维护策略的影响的分析模型。建立了基于检查的维护优化模型。最后,通过数值算例,对状态转变时间分布的决策变量和磨损状态参数进行了敏感性分析,并与目前的两态维护进行了比较,证明了该策略的有效性和优越性。政策。 (C)2016 Elsevier Ltd.保留所有权利。

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