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Component Reliability Criticality or Importance Measures for Systems With Degrading Components

机译:具有退化组件的系统的组件可靠性临界度或重要性度量

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摘要

This paper proposes two new importance measures: one new importance measure for systems with $s$ -independent degrading components, and another one for systems with $s$-correlated degrading components. Importance measures in previous research are inadequate for systems with degrading components because they are only applicable to steady-state cases and problems with discrete states without considering the continuously changing status of the degrading components. Our new importance measures are proposed as functions of time that can provide timely feedback on the critical components prior to failure based on the measured or observed degradation. Furthermore, the correlation between components is considered for developing these importance measures through a multivariate distribution. To evaluate the criticality of components, we analysed reliability models for multi-component systems with degrading components, which can also be utilized for studying maintenance models. Numerical examples show that the proposed importance measures can be used as an effective tool to assess component criticality for systems with degrading components.
机译:本文提出了两种新的重要性度量:一种针对具有$ s $独立降级组件的系统的新重要性度量,另一种针对具有$ s $相关降级组件的系统的重要性度量。先前研究中的重要措施不足以用于具有退化组件的系统,因为它们仅适用于稳态情况和离散状态的问题,而无需考虑退化组件的状态不断变化。我们提出了新的重要性衡量标准,将其作为时间的函数,可以根据测得或观察到的退化情况,在失效之前及时提供关键组件的反馈。此外,考虑组件之间的相关性以通过多变量分布制定这些重要性指标。为了评估组件的关键性,我们分析了具有退化组件的多组件系统的可靠性模型,该模型也可用于研究维护模型。数值算例表明,所提出的重要性度量可以用作评估具有退化组件的系统的组件临界性的有效工具。

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