Measuring Component Importance for Network System Using Cellular Automata. (2nd May 2019)

• Record Type: Journal Article
• Authors: He, Li; Cao, Qiyan; Shang, Fengjun
• Other Names: Sarder Md Guest Editor.
• Is Part Of: Complexity. Volume 2019(2019)
• Publication Date: 2019-05-02
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2019/3971597
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : This paper concentrates on the component importance measure of a network whose arc failure rates are not deterministic and imprecise ones. Conventionally, a computing method of component importance and a measure method of reliability stability are proposed. Three metrics are analyzed first: Birnbaum measurement, component importance, and component risk growth factor. Based on them, the latter can measure the impact of the component importance on the reliability stability of a system. Examples in some typical structures illustrate how to calculate component importance and reliability stability, including uncertain random series, parallel, parallel-series, series-parallel, and bridge systems. The comprehensive numerical experiments demonstrate that both of these methods can efficiently and accurately evaluate the impact of an arc failure on the reliability of a network system.