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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3671

Title: Improved efficiency in qualitative fault tree analysis
Authors: Sinnamon, Roslyn M.
Andrews, J.D.
Keywords: Fault tree analyses
Binary decision diagrams
Minimal cut sets
Issue Date: 1997
Publisher: © John Wiley & Sons
Citation: SINNAMIN, R.M. and ANDREWS, J.D., 1997. Improved efficiency in qualitative fault tree analysis. Quality and Reliability Engineering International, 13 (5), pp 293-298
Abstract: The fault tree diagram itself is an excellent way of deriving the failure logic for a system and representing it in a form which is ideal for communication to managers, designers, operators, etc. Since the method was first conceived, algorithms to derive the minimal cut sets have worked directly with the fault tree diagram using either bottom-up or top-down approaches. These conventional techniques have several disadvantages when it comes to analysing the fault tree. For complex systems an analysis may produce hundreds of thousands of minimal cut sets, the determination of which can be a very time-consuming process. Also, for large fault trees it may not be possible to evaluate all minimal cut sets, so methods to identify those event combinations which provide the most significant contributions to the system failure are evoked. Such methods include probabilistic or order culling to reduce the problem to a practical size, but they can also create considerable inaccuracies when it comes to evaluating top event probability parameters. This paper describes how the binary decision diagram method can be employed to evaluate the minimal cut sets of a fault tree efficiently and without the need to use approximations such as order culling.
Description: This article is Restricted Access. It was published in the journal, Quality and Reliability Engineering International [© John Wiley & Sons] and is also available at: http://www3.interscience.wiley.com/journal/3680/home
URI: https://dspace.lboro.ac.uk/2134/3671
ISSN: 0748-8017
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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