DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, JG | ko |
dc.contributor.author | Yum, Bong-Jin | ko |
dc.date.accessioned | 2008-10-28T07:46:03Z | - |
dc.date.available | 2008-10-28T07:46:03Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1997 | - |
dc.identifier.citation | RELIABILITY ENGINEERING & SYSTEM SAFETY, v.57, pp.143 - 157 | - |
dc.identifier.issn | 0951-8320 | - |
dc.identifier.uri | http://hdl.handle.net/10203/7693 | - |
dc.description.abstract | In 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.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | PROPAGATION | - |
dc.subject | ARRAYS | - |
dc.title | Development and evaluation of an uncertainty importance measure in fault tree analysis | - |
dc.type | Article | - |
dc.identifier.wosid | A1997XN90500004 | - |
dc.identifier.scopusid | 2-s2.0-0031200341 | - |
dc.type.rims | ART | - |
dc.citation.volume | 57 | - |
dc.citation.beginningpage | 143 | - |
dc.citation.endingpage | 157 | - |
dc.citation.publicationname | RELIABILITY ENGINEERING & SYSTEM SAFETY | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Yum, Bong-Jin | - |
dc.contributor.nonIdAuthor | Cho, JG | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | PROPAGATION | - |
dc.subject.keywordPlus | ARRAYS | - |
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