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    Improved Ensemble Superwavelet Transform for Vibration-Based Machinery Fault Diagnosis 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 007:;page 71012
    Author(s): He, Wangpeng; Zi, Yanyang; Wan, Zhiguo; Chen, Binqiang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the previous work of authors, the authors have presented an automatic fault feature extraction method, called ensemble superwavelet transform (ESW), based on the combination of tunable Q-factor wavelet transform (TQWT) ...
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    Ensemble Noise Reconstructed Empirical Mode Decomposition for Mechanical Fault Detection 

    Source: Journal of Vibration and Acoustics:;2013:;volume( 135 ):;issue: 002:;page 21011
    Author(s): Yuan, Jing; He, Zhengjia; Ni, Jun; Brzezinski, Adam John; Zi, Yanyang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Various faults inevitably occur in mechanical systems and may result in unexpected failures. Hence, fault detection is critical to reduce unscheduled downtime and costly breakdowns. Empirical mode decomposition (EMD) is ...
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    An Inverse Design Method of Buckling-Guided Assembly for Ribbon-Type 3D Structures 

    Source: Journal of Applied Mechanics:;2020:;volume( 087 ):;issue: 003:;page 031004-1
    Author(s): Xu, Zheng; Fan, Zhichao; Zi, Yanyang; Zhang, Yihui; Huang, Yonggang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Mechanically guided three-dimensional (3D) assembly based on the controlled buckling of pre-designed 2D thin-film precursors provides deterministic routes to complex 3D mesostructures in diverse functional materials, with ...
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    Periodic Impulsive Fault Feature Extraction of Rotating Machinery Using Dual Tree Rational Dilation Complex Wavelet Transform 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 005:;page 51011
    Author(s): Zhang, ChunLin; Li, Bing; Chen, BinQiang; Cao, HongRui; Zi, YanYang; He, ZhengJia
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Fault diagnosis of rotating machinery is very important to guarantee the safety of manufacturing. Periodic impulsive fault features commonly appear in vibration measurements when local defects occur in the key components ...
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