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dc.contributor.authorKabir, Sohag
dc.contributor.authorWalker, M.
dc.contributor.authorPapadopoulos, Y.
dc.contributor.authorRüde, E.
dc.contributor.authorSecurius, P.
dc.date.accessioned2019-10-18T12:12:04Z
dc.date.accessioned2019-11-13T07:43:26Z
dc.date.available2019-10-18T12:12:04Z
dc.date.available2019-11-13T07:43:26Z
dc.date.issued2016-10
dc.identifier.citationKabir S, Walker M, Papadopoulos Y et al (2016) Fuzzy temporal fault tree analysis of dynamic systems. International Journal of Approximate Reasoning. 77: 20-37.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17433
dc.descriptionYesen_US
dc.description.abstractFault tree analysis (FTA) is a powerful technique that is widely used for evaluating system safety and reliability. It can be used to assess the effects of combinations of failures on system behaviour but is unable to capture sequence dependent dynamic behaviour. A number of extensions to fault trees have been proposed to overcome this limitation. Pandora, one such extension, introduces temporal gates and temporal laws to allow dynamic analysis of temporal fault trees (TFTs). It can be easily integrated in model-based design and analysis techniques. The quantitative evaluation of failure probability in Pandora TFTs is performed using exact probabilistic data about component failures. However, exact data can often be difficult to obtain. In this paper, we propose a method that combines expert elicitation and fuzzy set theory with Pandora TFTs to enable dynamic analysis of complex systems with limited or absent exact quantitative data. This gives Pandora the ability to perform quantitative analysis under uncertainty, which increases further its potential utility in the emerging field of model-based design and dependability analysis. The method has been demonstrated by applying it to a fault tolerant fuel distribution system of a ship, and the results are compared with the results obtained by other existing techniques.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.ijar.2016.05.006en_US
dc.rights© 2016 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.subjectReliability analysisen_US
dc.subjectFault tree analysisen_US
dc.subjectDynamic fault treesen_US
dc.subjectTemporal fault treesen_US
dc.subjectUncertainty analysisen_US
dc.subjectFuzzy set theoryen_US
dc.titleFuzzy temporal fault tree analysis of dynamic systemsen_US
dc.status.refereedYesen_US
dc.date.Accepted2016-05-31
dc.date.application2016-07-02
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2019-10-18T11:12:05Z
refterms.dateFOA2019-11-13T07:43:50Z


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