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Importance index of components in uncertain random systems.
- 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