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contributor authorS. Quin
contributor authorG. E. O. Widera
date accessioned2017-05-08T23:51:29Z
date available2017-05-08T23:51:29Z
date copyrightFebruary, 1996
date issued1996
identifier issn0094-9930
identifier otherJPVTAS-28365#121_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/117590
description abstractOf the quantitative approaches applied to inservice inspection, failure modes, effects,criticality analysis (FMECA) methodology is recommended. FMECA can provide a straightforward illustration of how risk can be used to prioritize components for inspection (ASME, 1991). But, at present, it has two limitations. One is that it cannot be used in the situation where components have multiple failure modes. The other is that it cannot be used in the situation where the uncertainties in the data of components have nonuniform distributions. In engineering practice, these two situations exist in many cases. In this paper, two methods based on fuzzy set theory are presented to treat these problems. The methods proposed here can be considered as a supplement to FMECA, thus extending its range of applicability.
publisherThe American Society of Mechanical Engineers (ASME)
titleUncertainty Analysis in Quantitative Risk Assessment
typeJournal Paper
journal volume118
journal issue1
journal titleJournal of Pressure Vessel Technology
identifier doi10.1115/1.2842154
journal fristpage121
journal lastpage124
identifier eissn1528-8978
keywordsInspection
keywordsFailure
keywordsFuzzy set theory
keywordsRisk assessment
keywordsUncertainty AND In-service inspection
treeJournal of Pressure Vessel Technology:;1996:;volume( 118 ):;issue: 001
contenttypeFulltext


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