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    Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes 

    Source: Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue: 004:;page 41002-1
    Author(s): Su, Yuqi; Fang, Xiaolei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing prognostic models for systems with multiple ...
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    Integrated Remanufacturing and Opportunistic Maintenance Decision-Making for Leased Batch Production Lines 

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 143 ):;issue: 008:;page 081003-1
    Author(s): Xia, Tangbin; Zhang, Kaigan; Sun, Bowen; Fang, Xiaolei; Xi, Lifeng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With the development of the product-service paradigm, many original equipment manufacturers (OEMs) have begun to provide remanufacturing services besides maintenance services as the lessors. An integrated contract including ...
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    Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 007:;page 71005
    Author(s): Xia, Tangbin; Xi, Lifeng; Pan, Ershun; Fang, Xiaolei; Gebraeel, Nagi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With many industries increasingly relying on leased equipment and machinery, many original equipment manufacturers (OEMs) are turning to product-service packages where they deliver (typically lease) the physical assets. ...
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    Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 005:;page 51011
    Author(s): Xia, Tangbin; Fang, Xiaolei; Gebraeel, Nagi; Xi, Lifeng; Pan, Ershun
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: In mass customization, a manufacturing line is required to be kept in reliable operation to handle product demand volatility and potential machine degradations. Recent advances in data acquisition and processing allow for ...
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