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    Dependent Competing Risks Modeling for Mechanical Systems Under Component and Performance Failure

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:002::page 21001
    Author:
    Liu, Jingyi
    ,
    Zhang, Yugang
    ,
    Song, Bifeng
    DOI: 10.1115/1.4041849
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper establishes a competing failure analysis model for complex mechanical system under component failure and performance failure considering degradation. Traditionally, mechanical system is composed by a number of components. Meanwhile, mechanical system has the ability to accomplish its specific performance. Therefore, mechanism may fail because of two kinds of failure modes, the component failure due to degradation (such as component wear) and the performance failure (system couldn't complete performance). The two failure modes compete with each other because as soon as one mode occurs the system just fails. The component will degrade with time as system operates as well as the system performance. In this paper, Brownian motion (BM) with nonlinear drift is used to model the degradation of components based on which component failure is analyzed. The function of performance measurement is built by surrogate and performance failure is analyzed by it at different working circulation. Farlie–Gumbel–Morgenstern (FGM) copula is introduced to describe the dependence. The system reliability is analyzed by FGM copula as well as competing failure probability for each failure mode. Finally, a numerical example and an engineering case study are used to illustrate the proposed model.
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      Dependent Competing Risks Modeling for Mechanical Systems Under Component and Performance Failure

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4258768
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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    contributor authorLiu, Jingyi
    contributor authorZhang, Yugang
    contributor authorSong, Bifeng
    date accessioned2019-09-18T09:05:35Z
    date available2019-09-18T09:05:35Z
    date copyright4/17/2019 12:00:00 AM
    date issued2019
    identifier issn2332-9017
    identifier otherrisk_005_02_021001
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258768
    description abstractThis paper establishes a competing failure analysis model for complex mechanical system under component failure and performance failure considering degradation. Traditionally, mechanical system is composed by a number of components. Meanwhile, mechanical system has the ability to accomplish its specific performance. Therefore, mechanism may fail because of two kinds of failure modes, the component failure due to degradation (such as component wear) and the performance failure (system couldn't complete performance). The two failure modes compete with each other because as soon as one mode occurs the system just fails. The component will degrade with time as system operates as well as the system performance. In this paper, Brownian motion (BM) with nonlinear drift is used to model the degradation of components based on which component failure is analyzed. The function of performance measurement is built by surrogate and performance failure is analyzed by it at different working circulation. Farlie–Gumbel–Morgenstern (FGM) copula is introduced to describe the dependence. The system reliability is analyzed by FGM copula as well as competing failure probability for each failure mode. Finally, a numerical example and an engineering case study are used to illustrate the proposed model.
    publisherAmerican Society of Mechanical Engineers (ASME)
    titleDependent Competing Risks Modeling for Mechanical Systems Under Component and Performance Failure
    typeJournal Paper
    journal volume5
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
    identifier doi10.1115/1.4041849
    journal fristpage21001
    journal lastpage021001-8
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:002
    contenttypeFulltext
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