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    A Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001::page 04025114-1
    Author:
    Deng, Jiewei
    ,
    Wen, Guangrui
    ,
    Lei, Zihao
    ,
    Xu, Quanning
    ,
    Su, Yu
    ,
    Zhang, Zhifen
    DOI: 10.1061/AJRUA6.RUENG-1786
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate prediction of the remaining useful life (RUL) for rolling bearings was essential to ensure the operational reliability and safety of complex industrial equipment. However, the lack of high-quality life-cycle data in industry impeded the ...
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      A Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorDeng, Jiewei
    contributor authorWen, Guangrui
    contributor authorLei, Zihao
    contributor authorXu, Quanning
    contributor authorSu, Yu
    contributor authorZhang, Zhifen
    date accessioned2026-08-20T21:28:15Z
    date available2026-08-20T21:28:15Z
    date copyright2025/12/31
    date issued2026
    identifier otherAJRUA6.RUENG-1786.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314508
    description abstractAbstractAccurate prediction of the remaining useful life (RUL) for rolling bearings was essential to ensure the operational reliability and safety of complex industrial equipment. However, the lack of high-quality life-cycle data in industry impeded the ...
    publisherAmerican Society of Civil Engineers
    titleA Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data
    typeJournal Article
    journal volume12
    journal issue1
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1786
    journal fristpage04025114-1
    journal lastpage04025114-16
    page16
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001
    contenttypeFulltext
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