Measuring Component Importance for Network System Using Cellular Automata
Joint Authors
He, Li
Cao, Qiyan
Shang, Fengjun
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
He, Li& Cao, Qiyan& Shang, Fengjun. 2019. Measuring Component Importance for Network System Using Cellular Automata. Complexity،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1131642
Modern Language Association (MLA)
He, Li…[et al.]. Measuring Component Importance for Network System Using Cellular Automata. Complexity No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1131642
American Medical Association (AMA)
He, Li& Cao, Qiyan& Shang, Fengjun. Measuring Component Importance for Network System Using Cellular Automata. Complexity. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1131642
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131642