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Quantification of temporal fault trees based on fuzzy set theory

Kabir, Sohag; Edifor, Ernest; Walker, Martin; Gordon, Neil

Authors

Sohag Kabir

Ernest Edifor

Martin Walker



Abstract

© Springer International Publishing Switzerland 2014. Fault tree analysis (FTA) has been modified in different ways to make it capable of performing quantitative and qualitative safety analysis with temporal gates, thereby overcoming its limitation in capturing sequential failure behaviour. However, for many systems, it is often very difficult to have exact failure rates of components due to increased complexity of systems, scarcity of necessary statistical data etc. To overcome this problem, this paper presents a methodology based on fuzzy set theory to quantify temporal fault trees. This makes the imprecision in available failure data more explicit and helps to obtain a range of most probable values for the top event probability.

Publication Date Jan 1, 2014
Journal Proceedings of the ninth international conference on dependability and complex systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland
Print ISSN 2194-5357
Electronic ISSN 2194-5365
Publisher Springer Verlag
Peer Reviewed Not Peer Reviewed
Volume 286
Pages 255-264
Book Title Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland; Advances in Intelligent Systems and Computing
ISBN 9783319070124; 9783319070131
APA6 Citation Kabir, S., Edifor, E., Walker, M., & Gordon, N. (2014). Quantification of temporal fault trees based on fuzzy set theory. Advances in Intelligent Systems and Computing, 286, 255-264. https://doi.org/10.1007/978-3-319-07013-1_24
DOI https://doi.org/10.1007/978-3-319-07013-1_24
Keywords Dependability analysis, Fault tree analysis, Fuzzy logic, Uncertainty analysis, Temporal fault trees
Publisher URL https://link.springer.com/chapter/10.1007%2F978-3-319-07013-1_24
Copyright Statement ©2016 the Authors

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