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    Failure Prognosis of Complex Equipment With Multistream Deep Recurrent Neural Network 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 002
    Author(s): Su, Yonghe; Tao, Fei; Jin, Jian; Wang, Tian; Wang, Qingguo; Wang, Lei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The failure prognosis is crucial for industrial equipment in prognostics and health management field. The vibration signal is the commonly used data for failure prognosis. The conventional prognostic approaches have ...
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    DSpace software copyright © 2002-2015  DuraSpace
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