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Reliability Analysis of Repairable Systems With Dependent Component Failures Under Partially Perfect Repair

机译:部分完全维修下具有相关组件故障的可维修系统的可靠性分析

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Existing reliability models for repairable systems with a single component can be well applied for a range of repair actions from perfect repair to minimal repair. Establishing reliability models for multi-component repairable systems, however, is still a challenge problem when considering the dependency of component failures. This paper focuses on a special repair assumption, called partially perfect repair, for repairable systems with dependent component failures, where only the failed component is repaired to as good as new condition. A parametric reliability model is proposed to capture the statistical dependency among different component failures, in which the joint distribution of the latent component failure time is established using copula functions. The model parameters are estimated by using the maximum likelihood method, and the maximum likelihood function is calculated based on the conditional probability. Based on the proposed reliability model, statistical hypothesis testing procedures are developed to determine the dependency of component failures. The developed methods are illustrated with an application in a cylinder head assembling cell that consists of multiple stations.
机译:具有单个组件的可修复系统的现有可靠性模型可以很好地应用于从完美修复到最小修复的一系列修复操作。但是,在考虑组件故障的相关性时,为多组件可修复系统建立可靠性模型仍然是一个难题。本文着重于一个特殊的维修假设,称为部分完美维修,适用于具有相关组件故障的可修复系统,其中只有发生故障的组件才能得到与新情况一样好的修复。提出了一种参数可靠度模型来捕获不同部件故障之间的统计依赖性,其中使用copula函数建立潜在部件故障时间的联合分布。通过使用最大似然法估计模型参数,并根据条件概率计算最大似然函数。基于所提出的可靠性模型,开发了统计假设测试程序来确定组件故障的依赖性。在由多个工位组成的气缸盖组装单元中的应用举例说明了开发的方法。

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