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Component-based system reliability subject to positive and negative correlation

机译:基于组件的系统可靠性受到正相关和负相关的影响

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Traditional system reliability modeling methods assume statistical independence of component failures, while past research emphasizes methods to characterize positive correlation and dependence. However, negative dependence and correlation are also important for system reliability and resilience modeling. This paper develops a method to assess the reliability of a system subject to arbitrary combinations of positive and negative correlation between the failures of its components. The method enables derivation of expressions composed of a vector of unequal component reliabilities and unequal pairwise component correlations. The method is illustrated through a sequence of examples, which conduct sensitivity analysis on correlation parameters of the model as well as quantify the impact of component correlations on system reliability. Coverage experiments formally assess the flexibility and scalability of the approach.
机译:传统的系统可靠性建模方法假设组件故障的统计独立性,而过去的研究强调了表征正相关和依赖的方法。然而,负依赖性和相关性对于系统可靠性和抵御性建模也很重要。本文开发了一种评估经受其组分故障之间的任意组合的系统的可靠性的方法。该方法使得能够推导由不等分量可靠性的矢量和不等成分组分相关的表达式。该方法通过一系列示例来说明,该示例对模型的相关参数进行灵敏度分析,以及量化组件相关性对系统可靠性的影响。覆盖实验正式评估方法的灵活性和可扩展性。

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