Quantification of temporal fault trees based on fuzzy set theory

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

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.

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

• Acceptance Date: Feb 1, 2014
• Publication Date: Jan 1, 2014
• Deposit Date: Apr 1, 2016
• Publicly Available Date: Apr 1, 2016
• 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: 2194-5357
• 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• Peer Reviewed: Not Peer Reviewed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
• 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
• Public URL: https://hull-repository.worktribe.com/output/434551
• Publisher URL: https://link.springer.com/chapter/10.1007%2F978-3-319-07013-1_24
• Contract Date: Apr 1, 2016