JOINT RELIABILITY-IMPORTANCE OF COMPONENTS

被引:85
作者
ARMSTRONG, MJ
机构
[1] University of British Columbia, Vancouver
关键词
JOINT RELIABILITY-IMPORTANCE; MARGINAL RELIABILITY-IMPORTANCE;
D O I
10.1109/24.406574
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Conclusions - Hong and Lie (1993) defined joint reliability importance (JRI) as a measure of how 2 components in a system interact in contributing to the system reliability. Their definition and theorems regarding JRI were limited to statistically independent component states. This paper removes the statistical independence restriction by showing that similar results hold in the more general case where component failures can be statistically dependent; however, the calculation of actual values becomes more difficult, because covariance terms can appear in the JRI formula. Despite this, the essential determination and interpretation of the signs of the JRI remain unchanged. Thus analysts who wish to use JRI (eg, as a design heuristic) can do so in working with real systems where statistical independence is not valid. It is further shown that JRI is always non-zero for some classes of systems.
引用
收藏
页码:408 / 412
页数:5
相关论文
共 3 条
[1]  
BARLOW RE, 1975, STATISTICAL THEORY R
[2]  
HONG JS, 1993, IEEE T RELIAB, V42, P17
[3]   OPTIMAL-ARRANGEMENT AND IMPORTANCE OF THE COMPONENTS IN A CONSECUTIVE-K-OUT-OF-R-FROM-N-F SYSTEM [J].
PAPASTAVRIDIS, SG ;
SFAKIANAKIS, ME .
IEEE TRANSACTIONS ON RELIABILITY, 1991, 40 (03) :277-279