A hybrid approach for fault tree analysis combining probabilistic method with fuzzy numbers

Purba, JH; Lu, J; Ruan, D; Zhang, G

A hybrid approach for fault tree analysis combining probabilistic method with fuzzy numbers

Purba, JH Lu, J

Ruan, D Zhang, G

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Publication Type:: Chapter
Citation:: 2010, 6113 LNAI pp. 194 - 201
Issue Date:: 2010-08-13

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Field	Value	Language
dc.contributor.author	Purba, JH	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Ruan, D	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2010-08-13	en_US
dc.identifier.citation	2010, 6113 LNAI pp. 194 - 201	en_US
dc.identifier.isbn	3642132073	en_US
dc.identifier.isbn	9783642132070	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12970
dc.description.abstract	Conventional fault tree analysis in safety analysis of complex engineering systems calculates the occurrence probability of the top undesired event using probabilistic failure rates. However, it is often very difficult to obtain those failure rates well in advance due to insufficient data, environment changing or new components. Fuzzy numbers can be applied to estimate failure rates by handling linguistic terms. This study proposes a hybrid approach of Fuzzy Numbers and Fault Tree Analysis to solve the conventional problem and describes its procedures using a case study of emergency core cooling system of a typical nuclear power plant. © 2010 Springer-Verlag.	en_US
dc.relation.isbasedon	10.1007/978-3-642-13208-7_25	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A hybrid approach for fault tree analysis combining probabilistic method with fuzzy numbers	en_US
dc.type	Chapter
utslib.citation.volume	6113 LNAI	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	6113 LNAI	en_US

Abstract:

Conventional fault tree analysis in safety analysis of complex engineering systems calculates the occurrence probability of the top undesired event using probabilistic failure rates. However, it is often very difficult to obtain those failure rates well in advance due to insufficient data, environment changing or new components. Fuzzy numbers can be applied to estimate failure rates by handling linguistic terms. This study proposes a hybrid approach of Fuzzy Numbers and Fault Tree Analysis to solve the conventional problem and describes its procedures using a case study of emergency core cooling system of a typical nuclear power plant. © 2010 Springer-Verlag.

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http://hdl.handle.net/10453/12970