Importance measures for optimal structure in linear consecutive-k-out-of-n systems
Importance measures for optimal structure in linear consecutive-k-out-of-n systems
复制标题
线性连续 k-out-of-n 系统中最优结构的重要性度量
DOI：
10.1016/j.ress.2017.09.015
复制
发表时间：
2018
影响因子：
8.1
通讯作者：
Yam Richard C. M.
中科院分区：
文献类型：
--
作者：
Dui Hongyan;Si Shubin;Yam Richard C. M.
重要性度量可以描述在系统结构易于改变的情况下，哪个部件的可靠性变化是最有希望的。最近，Birnbaum重要性的可重构系统的基础上的恒定可靠性进行了讨论。这种重要性表明，重要性变化对应于系统最优配置的变化。传统上，重要性度量不考虑系统结构在整个系统生命周期中可能发生的变化。重要性度量则应考虑系统可能发生的最优结构变化和系统的寿命，它可以描述在系统寿命期间，系统最优结构中元件排序的变化对元件重要性的影响。本文研究了系统寿命期内最优结构变化的Birnbaum重要性测度、综合重要性测度和平均绝对偏差。这些措施提供了有用的信息，关于组件的可靠性和重要性措施之间的关系与最佳系统结构的变化。最后，线性召唤-k-out-of-n系统的例子来说明所提出的方法的利用。
Importance measures can describe which component reliability change is the most promising if the system structure can be easily changed. Recently, the Birnbaum importance for reconfigurable systems based on the constant reliability has been discussed. This importance shows that importance variation corresponds to the change in system optimal configuration. Traditionally, importance measures do not consider the possible change in a system structure throughout the system's lifetime. However, the possible optimal structural change and the system's lifetime should be considered in importance measures, which can describe the change of component importance with respect to the changes of the component sequencing in optimal system structure during the system lifetime. This paper studies the Birnbaum importance measure, integrated importance measure, and Mean Absolute Deviation with respect to the changes in optimal system structure throughout the system's lifetime. These measures provide useful information regarding the relationships between component reliability and importance measures with the changes in optimal system structure. Finally, examples of linear consecutive-k-out-of-nsystems are used to illustrate the utilization of the proposed method.
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影响因子：
0.9
作者：
B. Natvig;J. Gåsemyr
通讯作者：
B. Natvig;J. Gåsemyr
影响因子：
5.9
作者：
L. Cui;W. Kuo;H. Loh;Min Xie
通讯作者：
L. Cui;W. Kuo;H. Loh;Min Xie
影响因子：
5.9
作者：
W. Kuo;W. Zhang;M. Zuo
通讯作者：
W. Kuo;W. Zhang;M. Zuo
DOI：
10.1016/j.ress.2013.05.025
发表时间：
2013-11
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
--
作者：
A. Huseby;B. Natvig
通讯作者：
A. Huseby;B. Natvig
影响因子：
5.9
作者：
Si, Shubin;Dui, Hongyan;Sun, Shudong
通讯作者：
Sun, Shudong