Development and evaluation of an uncertainty importance measure in fault tree analysis

Cited 8 time in webofscience Cited 0 time in scopus
  • Hit : 889
  • Download : 1216
DC FieldValueLanguage
dc.contributor.authorCho, JGko
dc.contributor.authorYum, Bong-Jinko
dc.date.accessioned2008-10-28T07:46:03Z-
dc.date.available2008-10-28T07:46:03Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-
dc.identifier.citationRELIABILITY ENGINEERING & SYSTEM SAFETY, v.57, pp.143 - 157-
dc.identifier.issn0951-8320-
dc.identifier.urihttp://hdl.handle.net/10203/7693-
dc.description.abstractIn a fault tree analysis, an uncertainty importance measure is used to identify those basic events that significantly contribute to the uncertainty of the top-event probability. This paper defines an uncertainty importance measure of a basic event or of a group of basic events, and develops a two-stage procedure for experimentally evaluating the measure under the assumption that the probability of each basic event follows a lognormal distribution. The proposed method utilizes the Taguchi tolerance design technique with modifications. Then, the so-called contribution ratios which evaluate the main and/or interaction effects of the uncertainties of log-transformed basic-event probabilities on the uncertainty of the log-transformed top-event probability are calculated. The contribution ratios are used to estimate the defined uncertainty importance measure of a basic event or of a group of basic events. The proposed method consists of two stages for computational efficiency. In the first stage, the basic events with negligible effects on the uncertainty of the log-transformed top-event probability are screened out, and more detailed analyses are conducted in the second stage with a substantially smaller number of basic events. In addition, this paper presents an analysis method to quantify the percentage reduction in the uncertainty of the log-transformed top-event probability when the uncertainty of each basic-event probability is reduced. (C) 1997 Elsevier Science Limited.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherELSEVIER SCI LTD-
dc.subjectPROPAGATION-
dc.subjectARRAYS-
dc.titleDevelopment and evaluation of an uncertainty importance measure in fault tree analysis-
dc.typeArticle-
dc.identifier.wosidA1997XN90500004-
dc.identifier.scopusid2-s2.0-0031200341-
dc.type.rimsART-
dc.citation.volume57-
dc.citation.beginningpage143-
dc.citation.endingpage157-
dc.citation.publicationnameRELIABILITY ENGINEERING & SYSTEM SAFETY-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorYum, Bong-Jin-
dc.contributor.nonIdAuthorCho, JG-
dc.type.journalArticleArticle-
dc.subject.keywordPlusPROPAGATION-
dc.subject.keywordPlusARRAYS-
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 8 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0