可靠性工程
度量(数据仓库)
可靠性(半导体)
级联故障
计算机科学
还原(数学)
国家(计算机科学)
组分(热力学)
复杂系统
电力系统
工程类
数据挖掘
人工智能
数学
算法
功率(物理)
物理
几何学
量子力学
热力学
作者
Muxian Zhou,S. Zhang,C. Ma,A. Wu,Zhiqiang Cai
标识
DOI:10.1049/icp.2022.2911
摘要
Importance measure refers to the degree to which the system performance is affected by the failure or state change of single or few components in the system. It can be used to reasonably allocate detection and maintenance resources, so as to guarantee the common operation of the most important components in system. Traditional importance measures could not evaluate the multi-state phased-mission system (MS-PMS) with cascading effect. Then we propose a method to calculate the multi-state Birnbaum importance, reliability achievement worth, risk reduction worth and Fussell-Vesely importance of MS-PMS with cascading effect. Finally, we give a numerical example to verify this combination way.
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