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    Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection 

    Source: Journal of Aerospace Engineering:;2024:;Volume ( 037 ):;issue: 003:;page 04024018-1
    Author(s): Yong-Ping Zhao; Pei Peng; Yao-Bin Chen; Hui-Jie Jin
    Publisher: ASCE
    Abstract: Fault detection is an important part of aeroengine health management. Intelligent fault detection methods represented by machine learning have been widely studied. However, most studies assume that training and test data ...
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    A Turboshaft Aeroengine Fault Detection Method Based on One-Class Support Vector Machine and Transfer Learning 

    Source: Journal of Aerospace Engineering:;2022:;Volume ( 035 ):;issue: 006:;page 04022085
    Author(s): Ye Zhu; Chenglie Du; Zhiqiang Liu; Yao-Bin Chen; Yong-Ping Zhao
    Publisher: ASCE
    Abstract: The fault detection of turboshaft engines is very important to ensure the flight safety of helicopters. Because there are few fault data in engine historical operation data, engine fault detection is often regarded as an ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian