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    Toward the Effect of Dependent Distribution Parameters on Reliability Prediction

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 002::page 21008
    Author:
    Cheng, Yao
    ,
    Du, Xiaoping
    DOI: 10.1115/1.4039193
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Random variables are commonly encountered in engineering applications, and their distributions are required for analysis and design, especially for reliability prediction during the design process. Distribution parameters are usually estimated using samples. In many applications, samples are in the form of intervals, and the estimated distribution parameters will also be in intervals. Traditional reliability methodologies assume independent interval distribution parameters, but as shown in this study, the parameters are actually dependent since they are estimated from the same set of samples. This study investigates the effect of the dependence of distribution parameters on the accuracy of reliability analysis results. The major approach is numerical simulation and optimization. This study demonstrates that the independent distribution parameter assumption makes the estimated reliability bounds wider than the true bounds. The reason is that the actual combination of the distribution parameters may not include the entire box-type domain assumed by the independent interval parameter assumption. The results of this study not only reveal the cause of the imprecision of the independent distribution parameter assumption, but also demonstrate a need of developing new reliability methods to accommodate dependent distribution parameters.
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      Toward the Effect of Dependent Distribution Parameters on Reliability Prediction

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    contributor authorCheng, Yao
    contributor authorDu, Xiaoping
    date accessioned2019-02-28T11:12:19Z
    date available2019-02-28T11:12:19Z
    date copyright3/19/2018 12:00:00 AM
    date issued2018
    identifier issn1530-9827
    identifier otherjcise_018_02_021008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253806
    description abstractRandom variables are commonly encountered in engineering applications, and their distributions are required for analysis and design, especially for reliability prediction during the design process. Distribution parameters are usually estimated using samples. In many applications, samples are in the form of intervals, and the estimated distribution parameters will also be in intervals. Traditional reliability methodologies assume independent interval distribution parameters, but as shown in this study, the parameters are actually dependent since they are estimated from the same set of samples. This study investigates the effect of the dependence of distribution parameters on the accuracy of reliability analysis results. The major approach is numerical simulation and optimization. This study demonstrates that the independent distribution parameter assumption makes the estimated reliability bounds wider than the true bounds. The reason is that the actual combination of the distribution parameters may not include the entire box-type domain assumed by the independent interval parameter assumption. The results of this study not only reveal the cause of the imprecision of the independent distribution parameter assumption, but also demonstrate a need of developing new reliability methods to accommodate dependent distribution parameters.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleToward the Effect of Dependent Distribution Parameters on Reliability Prediction
    typeJournal Paper
    journal volume18
    journal issue2
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4039193
    journal fristpage21008
    journal lastpage021008-10
    treeJournal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian