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    Narrower System Reliability Bounds With Incomplete Component Information and Stochastic Process Loading

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 004::page 41007
    Author:
    Cheng, Yao
    ,
    Conrad, Daniel C.
    ,
    Du, Xiaoping
    DOI: 10.1115/1.4035530
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Incomplete component information may lead to wide bounds for system reliability prediction, making decisions difficult in the system design stage. The missing information is often the component dependence, which is a crucial source for the exact system reliability estimation. Component dependence exists due to the shared environment and operating conditions. But it is difficult for system designers to model component dependence because they may have limited information about component design details if outside suppliers designed and manufactured the components. This research intends to produce narrow system reliability bounds with a new way for system designers to consider the component dependence implicitly and automatically without knowing component design details. The proposed method is applicable for a wide range of applications where the time-dependent system stochastic load is shared by components of the system. Simulation is used to obtain the extreme value of the system load for a given period of time, and optimization is employed to estimate the system reliability bounds, which are narrower than those from the traditional method with independent component assumption and completely dependent component assumption. Examples are provided to demonstrate the proposed method.
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      Narrower System Reliability Bounds With Incomplete Component Information and Stochastic Process Loading

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4236544
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    contributor authorCheng, Yao
    contributor authorConrad, Daniel C.
    contributor authorDu, Xiaoping
    date accessioned2017-11-25T07:20:35Z
    date available2017-11-25T07:20:35Z
    date copyright2017/16/5
    date issued2017
    identifier issn1530-9827
    identifier otherjcise_017_04_041007.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236544
    description abstractIncomplete component information may lead to wide bounds for system reliability prediction, making decisions difficult in the system design stage. The missing information is often the component dependence, which is a crucial source for the exact system reliability estimation. Component dependence exists due to the shared environment and operating conditions. But it is difficult for system designers to model component dependence because they may have limited information about component design details if outside suppliers designed and manufactured the components. This research intends to produce narrow system reliability bounds with a new way for system designers to consider the component dependence implicitly and automatically without knowing component design details. The proposed method is applicable for a wide range of applications where the time-dependent system stochastic load is shared by components of the system. Simulation is used to obtain the extreme value of the system load for a given period of time, and optimization is employed to estimate the system reliability bounds, which are narrower than those from the traditional method with independent component assumption and completely dependent component assumption. Examples are provided to demonstrate the proposed method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNarrower System Reliability Bounds With Incomplete Component Information and Stochastic Process Loading
    typeJournal Paper
    journal volume17
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4035530
    journal fristpage41007
    journal lastpage041007-11
    treeJournal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 004
    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
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