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    Uncertainty Analysis in Quantitative Risk Assessment

    Source: Journal of Pressure Vessel Technology:;1996:;volume( 118 ):;issue: 001::page 121
    Author:
    S. Quin
    ,
    G. E. O. Widera
    DOI: 10.1115/1.2842154
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Of 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.
    keyword(s): Inspection , Failure , Fuzzy set theory , Risk assessment , Uncertainty AND In-service inspection ,
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      Uncertainty Analysis in Quantitative Risk Assessment

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    https://yetl.yabesh.ir/yetl1/handle/yetl/117590
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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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