Relations and Generalizations of Importance Measures in Reliability

Relations and Generalizations of Importance Measures in Reliability
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DOI:
10.1109/tr.2012.2208302
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发表时间:
2012-07
影响因子:
5.9
通讯作者:
W. Kuo;Xiaoyan Zhu
W. Kuo;Xiaoyan Zhu
中科院分区:
计算机科学2区
文献类型:
--
作者:
W. Kuo;Xiaoyan Zhu

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为了确定系统中的关键组件或组件集,已经提出了具有不同概率观点和应用的各种重要性度量。许多这些重要的措施实际上在某些方面是相互关联的。本文总结了可靠性中的重要度量,并给出了它们之间的关系和比较,重点讨论了它们与b -重要的相互关系、它们之间的优势关系、对偶关系、它们在典型系统中的表现以及它们的计算方法。早期版本的重要性度量是针对二元相干系统的,而最近的研究并不局限于这种类型的系统。研究了重要性测度在非相干系统、多态系统、连续统系统和可修系统中的推广。
To identify the critical components or sets of components in a system, various importance measures have been proposed with different probabilistic perspectives and applications. Many of these importance measures are actually related to each other in some ways. This paper summarizes the importance measures in reliability, and presents relations and comparisons among them, focusing on their interrelations to the B-importance, the dominant relations among them, the dual relations, their performances in typical systems, and their computations. The early versions of the importance measures are for binary coherent systems, while the recent research is not limited to this type of system. This paper investigates the extensions of importance measures in noncoherent systems, multistate systems, continuum systems, and repairable systems.