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    Digital Twin Applied to Predictive Maintenance for Industry 4.0 

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 004:;page 41008-1
    Author(s): Kerkeni, Rochdi; Khlif, Safa; Mhalla, Anis; Bouzrara, Kais
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The major concept of the future Industrial 4.0 framework is the integration of artificial intelligence (AI) and the implementation of digital twin (DT), which avoids serious economic losses caused by unexpected equipment ...
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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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