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dc.contributor.author Taylor, Neil
dc.contributor.author Price, Chris
dc.date.accessioned 2008-12-18T09:59:15Z
dc.date.available 2008-12-18T09:59:15Z
dc.date.issued 2002-04
dc.identifier.citation Taylor , N & Price , C 2002 , ' Automated Multiple Failure FMEA ' Reliability Engineering & System Safety , vol 76 , no. 1 , pp. 1-10 . , 10.1016/S0951-8320(01)00136-3 en
dc.identifier.other PURE: 96727
dc.identifier.other dspace: 2160/1773
dc.identifier.uri http://hdl.handle.net/2160/1773
dc.description Price, N., Taylor,. Neil, Reliability Engineering and System Safety, 76(1) pp.1-10 RAE2008 en
dc.description.abstract Failure mode and effects analysis (FMEA) is typically performed by a team of engineers working together. In general, they will only consider single point failures in a system. Consideration of all possible combinations of failures is impractical for all but the simplest example systems. Even if the task of producing the FMEA report for the full multiple failure scenario were automated, it would still be impractical for the engineers to read, understand and act on all of the results. This paper shows how approximate failure rates for components can be used to select the most likely combinations of failures for automated investigation using simulation. The important information can be automatically identified from the resulting report, making it practical for engineers to study and act on the results. The strategy described in the paper has been applied to a range of electrical subsystems, and the results have confirmed that the strategy described here works well for realistically complex systems. en
dc.format.extent 10 en
dc.language.iso eng
dc.relation.ispartof Reliability Engineering & System Safety en
dc.subject Failure mode and effects analysis en
dc.subject Qualitative simulation en
dc.subject Multiple failures en
dc.title Automated Multiple Failure FMEA en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/S0951-8320(01)00136-3
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


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