YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Engine State Prediction Based on a Dynamic Model and Transfer Learning

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002::page 04026008-1
    Author:
    Pei, Guobin
    ,
    Li, Bin
    ,
    Zhang, Junhong
    ,
    Lin, Jiewei
    ,
    Zhuang, Jichao
    ,
    Wang, Hui
    DOI: 10.1061/AJRUA6.RUENG-1775
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn the actual diesel engine engineering scenario, fault data are scarce. Insufficient samples cause the model to over-memorize noise in the training data or details of specific samples rather than learning generalization features, resulting in ...
    • Download: (4.168Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Engine State Prediction Based on a Dynamic Model and Transfer Learning

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314475
    Collections
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

    Show full item record

    contributor authorPei, Guobin
    contributor authorLi, Bin
    contributor authorZhang, Junhong
    contributor authorLin, Jiewei
    contributor authorZhuang, Jichao
    contributor authorWang, Hui
    date accessioned2026-08-20T21:27:08Z
    date available2026-08-20T21:27:08Z
    date copyright2026/02/19
    date issued2026
    identifier otherAJRUA6.RUENG-1775.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314475
    description abstractAbstractIn the actual diesel engine engineering scenario, fault data are scarce. Insufficient samples cause the model to over-memorize noise in the training data or details of specific samples rather than learning generalization features, resulting in ...
    publisherAmerican Society of Civil Engineers
    titleEngine State Prediction Based on a Dynamic Model and Transfer Learning
    typeJournal Article
    journal volume12
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1775
    journal fristpage04026008-1
    journal lastpage04026008-13
    page13
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian