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An importance measure for multistate systems with external factors

Dui, Hongyan, Si, Shubin, Wu, Shaomin, Yam, Richard C.M (2017) An importance measure for multistate systems with external factors. Reliability Engineering and System Safety, 167 . pp. 49-57. ISSN 0951-8320. (doi:10.1016/j.ress.2017.05.016) (KAR id:61710)


Many technical systems are operated under the impact of external factors that may cause the systems to fail. For such systems, an interesting question is how those external factors and their impacts on the system can be identified at an earlier stage. Importance measures in reliability engineering are used to prioritise weak components (or states) of a system. Component failures and the impact of external factors in the real world may be statistically dependent as external factors may affect system performance. This paper proposes a new importance measure for analysing the impact of external factors on system performance. The measure can evaluate the degree of the impact of external factors on the system and can therefore help engineers to identify the factors with the strong impact on the system performance. A real-world case study is used to illustrate its applicability.

Item Type: Article
DOI/Identification number: 10.1016/j.ress.2017.05.016
Uncontrolled keywords: Reliability; importance measure; external factor; system performance; multistate system
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 12 May 2017 20:50 UTC
Last Modified: 04 Jul 2023 13:30 UTC
Resource URI: (The current URI for this page, for reference purposes)

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