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    Fuzzy temporal fault tree analysis of dynamic systems

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    Kabir et al 2016 (574.9Kb)
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    Publication date
    2016-10
    Author
    Kabir, Sohag
    Walker, M.
    Papadopoulos, Y.
    Rüde, E.
    Securius, P.
    Keyword
    Reliability analysis
    Fault tree analysis
    Dynamic fault trees
    Temporal fault trees
    Uncertainty analysis
    Fuzzy set theory
    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/)
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Fault 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.
    URI
    http://hdl.handle.net/10454/17433
    Version
    Accepted manuscript
    Citation
    Kabir S, Walker M, Papadopoulos Y et al (2016) Fuzzy temporal fault tree analysis of dynamic systems. International Journal of Approximate Reasoning. 77: 20-37.
    Link to publisher’s version
    https://doi.org/10.1016/j.ijar.2016.05.006
    Type
    Article
    Collections
    Engineering and Informatics Publications

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