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)
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Official URL: http://dx.doi.org/10.1016/j.ress.2017.05.016 |
Abstract
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 |
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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: | https://kar.kent.ac.uk/id/eprint/61710 (The current URI for this page, for reference purposes) |
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