Prime implicants for modularised non-coherent fault trees using binary decision diagrams

This paper presents an extended strategy for the analysis of complex fault trees. The method utilises simplification rules, which are applied to the fault tree to reduce it to a series of smaller subtrees, whose solution is equivalent to the original fault tree. The smaller subtree units are less se...

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Main Authors: Remenyte-Prescott, Rasa, Andrews, John
Format: Article
Published: Inderscience 2007
Subjects:
Online Access:https://eprints.nottingham.ac.uk/3316/
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author Remenyte-Prescott, Rasa
Andrews, John
author_facet Remenyte-Prescott, Rasa
Andrews, John
author_sort Remenyte-Prescott, Rasa
building Nottingham Research Data Repository
collection Online Access
description This paper presents an extended strategy for the analysis of complex fault trees. The method utilises simplification rules, which are applied to the fault tree to reduce it to a series of smaller subtrees, whose solution is equivalent to the original fault tree. The smaller subtree units are less sensitive to the basic event ordering during BDD conversion. BDDs are constructed for every subtree. Qualitative analysis is performed on the set of BDDs to obtain the prime implicant sets for the original top event. It is shown how to extract the prime implicant sets from complex and modular events in order to obtain the prime implicant sets of the original fault tree in terms of basic events.
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spelling nottingham-33162020-05-04T20:29:05Z https://eprints.nottingham.ac.uk/3316/ Prime implicants for modularised non-coherent fault trees using binary decision diagrams Remenyte-Prescott, Rasa Andrews, John This paper presents an extended strategy for the analysis of complex fault trees. The method utilises simplification rules, which are applied to the fault tree to reduce it to a series of smaller subtrees, whose solution is equivalent to the original fault tree. The smaller subtree units are less sensitive to the basic event ordering during BDD conversion. BDDs are constructed for every subtree. Qualitative analysis is performed on the set of BDDs to obtain the prime implicant sets for the original top event. It is shown how to extract the prime implicant sets from complex and modular events in order to obtain the prime implicant sets of the original fault tree in terms of basic events. Inderscience 2007 Article PeerReviewed Remenyte-Prescott, Rasa and Andrews, John (2007) Prime implicants for modularised non-coherent fault trees using binary decision diagrams. International Journal of Reliability and Safety, 1 (4). pp. 446-464. ISSN 1479-3903 fault tree analysis; binary decision diagrams; BDDs; non-coherent systems; prime implicants; reliability http://www.inderscience.com/info/inarticle.php?artid=16259 doi:10.1504/IJRS.2007.016259 doi:10.1504/IJRS.2007.016259
spellingShingle fault tree analysis; binary decision diagrams; BDDs; non-coherent systems; prime implicants; reliability
Remenyte-Prescott, Rasa
Andrews, John
Prime implicants for modularised non-coherent fault trees using binary decision diagrams
title Prime implicants for modularised non-coherent fault trees using binary decision diagrams
title_full Prime implicants for modularised non-coherent fault trees using binary decision diagrams
title_fullStr Prime implicants for modularised non-coherent fault trees using binary decision diagrams
title_full_unstemmed Prime implicants for modularised non-coherent fault trees using binary decision diagrams
title_short Prime implicants for modularised non-coherent fault trees using binary decision diagrams
title_sort prime implicants for modularised non-coherent fault trees using binary decision diagrams
topic fault tree analysis; binary decision diagrams; BDDs; non-coherent systems; prime implicants; reliability
url https://eprints.nottingham.ac.uk/3316/
https://eprints.nottingham.ac.uk/3316/
https://eprints.nottingham.ac.uk/3316/