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Importance index of components in uncertain random systems.

Authors :
Gao, Rong
Yao, Kai
Source :
Knowledge-Based Systems. Oct2016, Vol. 109, p208-217. 10p.
Publication Year :
2016

Abstract

Importance measure is an index to describe the importance of an individual component or a group of components within a reliability system. Up to now, importance measures for components in stochastic reliability systems have been investigated. And importance index for a component and a group of components in an uncertain reliability system has also been studied. In the real world, components with samples and components without samples always coexist in a complex system which is actually an uncertain random reliability system. For describing the importance extent of an individual component and a group of components in an uncertain random reliability system, this paper aims at introducing a new concept of importance index and presenting some formulas to calculate the importance index. Furthermore, this paper takes several examples including uncertain random series, uncertain random parallel, uncertain random parallel-series, uncertain random series-parallel and uncertain random bridge systems to illustrate how to calculate an importance index. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09507051
Volume :
109
Database :
Academic Search Index
Journal :
Knowledge-Based Systems
Publication Type :
Academic Journal
Accession number :
117708801
Full Text :
https://doi.org/10.1016/j.knosys.2016.07.006