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A Generalized Griffith Importance Measure for Components With Multiple State Transitions

机译:具有多个状态转换的组件的广义Griffith重要度度量

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摘要

The performance of the system is often influenced by the performance of a particular component. Hence, it is important to identify the state changing of which component dominates the system performance changing in a maintenance process. Motivated by the Griffith importance measure (GIM) model, this paper proposed the generalized GIM, which extends the application of GIM to complex multi-state components, to evaluate the accurate contribution of the components in the changing of the system performance by considering the transition probabilities of the states of each component. Furthermore, the generalized GIM method is successfully applied in the continuous-state systems by extending the system structure function in GIM model. As a result, the expression of the performance of continuous system and the generalized GIM of the continuous-state components are proposed. A numerical example and an application to an oil transportation system are presented to illustrate how the proposed method works.
机译:系统的性能通常受特定组件的性能影响。因此,重要的是要确定在维护过程中哪个组件组件的状态变化支配着系统性能的变化。基于格里菲斯重要性度量(GIM)模型,本文提出了广义GIM,将GIM的应用扩展到复杂的多状态组件,通过考虑过渡来评估组件在系统性能变化中的准确贡献。每个组件状态的概率。此外,通过扩展GIM模型中的系统结构功能,将广义GIM方法成功应用于连续状态系统。结果,提出了连续系统性能的表示和连续状态分量的广义GIM。给出了一个数值示例,并将其应用于石油运输系统,以说明所提出的方法是如何工作的。

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