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    Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets 

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 144 ):;issue: 006:;page 61008-1
    Author(s): Cohen, Joseph; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Machine learning and other data-driven methods have developed at a prolific rate for industrial applications due to the advent of industrial big data. However, industrial datasets may not be especially well-suited to ...
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    Joint Production and Preventive Maintenance Strategy for Manufacturing Systems With Stochastic Demand 

    Source: Journal of Manufacturing Science and Engineering:;2013:;volume( 135 ):;issue: 003:;page 31016
    Author(s): Jin, Xiaoning; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper seeks to make joint decisions on preventive maintenance level and production quantity for manufacturing systems subject to stochastic demand in a finitehorizon. Standard models for scheduling preventive maintenance ...
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    Experimental Investigation on Joining Dissimilar Aluminum Alloy 6061 to TRIP 780/800 Steel Through Friction Stir Welding 

    Source: Journal of Engineering Materials and Technology:;2015:;volume( 137 ):;issue: 004:;page 41001
    Author(s): Liu, Xun; Lan, Shuhuai; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Friction stir welding (FSW) technique has been successfully applied to butt joining of aluminum alloy 6061T6 to one type of advanced high strength steel (AHSS), transformation induced plasticity (TRIP) 780/800 with the ...
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    Modeling and Control of an Automotive All Wheel Drive Clutch as a Piecewise Affine System 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2014:;volume( 136 ):;issue: 001:;page 11008
    Author(s): Duan, Shiming; Ni, Jun; Ulsoy, A. Galip
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Piecewise affine (PWA) systems belong to a subclass of switched systems and provide good flexibility and traceability for modeling a variety of nonlinear systems. In this paper, application of the PWA system framework to ...
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    Friction Stir Resistance Spot Welding of Aluminum Alloy to Advanced High Strength Steel 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 011:;page 111007
    Author(s): Chen, Kai; Liu, Xun; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A hybrid friction stir resistance spot welding (RSW) process is applied for joining aluminum alloy 6061 to TRIP 780 steel. Compared with conventional RSW, the applied current density is lower and the welding process remains ...
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    Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems 

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 003:;page 31017
    Author(s): Gu, Xi; Jin, Xiaoning; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we investigate hidden opportunities for performing proper maintenance tasks during production time without causing production losses. One of the maintenance opportunities on a machine is when the machine is ...
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    Thermal Mechanical Modeling of the Plunge Stage During Friction Stir Welding of Dissimilar Al 6061 to TRIP 780 Steel 

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 005:;page 51017
    Author(s): Liu, Xun; Lan, Shuhuai; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, a coupled thermomechanical model has been developed for the plunge stage of frictionstir welding (FSW) for joining dissimilar Al 6061 to TRIP steel. Governing equations of mass, momentum, and energy have ...
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    Markov Based Maintenance Planning Considering Repair Time and Periodic Inspection 

    Source: Journal of Manufacturing Science and Engineering:;2013:;volume( 135 ):;issue: 003:;page 31013
    Author(s): Lee, Seungchul; Li, Lin; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The equipment degradation and various maintenance decision processes with unreliable machines have been studied extensively. The traditional degradation modeling using Markov process only focuses on single machine system ...
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    Effects of Process Parameters on Friction Stir Spot Welding of Aluminum Alloy to Advanced High-Strength Steel 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 008:;page 81016
    Author(s): Chen, Kai; Liu, Xun; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper studies a friction stir spot welding (FSSW) process that has been successfully applied to join aluminum alloy 6061-T6 to transformation-induced plasticity steel (TRIP) 780/800 steel. Cross sections of weld ...
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    Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems 

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 144 ):;issue: 007:;page 71006-1
    Author(s): Cohen, Joseph; Jiang, Baoyang; Ni, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Common in discrete manufacturing, timed event systems often have strict synchronization requirements for healthy operation. Discrete event system methods have been used as mathematical tools to detect known faults, but do ...
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