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    Use of Seismic Analyses for the Wind Energy Industry 

    Source: Journal of Solar Energy Engineering:;2017:;volume( 139 ):;issue: 005:;page 51007
    Author(s): Hu, Weifei; Pryor, S. C.; Letson, Frederick; Barthelmie, R. J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes new seismic-based methods for use in the wind energy industry with a focus on wind turbine condition monitoring. Fourteen Streckeisen STS-2 Broadband seismometers and two three-dimensional (3D) sonic ...
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    Effects of Onshore and Offshore Environmental Parameters on the Leading Edge Erosion of Wind Turbine Blades: A Comparative Study 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2021:;volume( 143 ):;issue: 004:;page 042001-1
    Author(s): Shankar Verma, Amrit; Jiang, Zhiyu; Ren, Zhengru; Hu, Weifei; Teuwen, Julie J. E.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The presence of rain-induced leading edge erosion of wind turbine blades (WTBs) necessitates the development of erosion models. One of the essential parameters for erosion modeling is the relative impact velocity between ...
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    Surrogate-Based Time-Dependent Reliability Analysis for a Digital Twin 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 009:;page 91708-1
    Author(s): Hu, Weifei; Yan, Jiquan; Zhao, Feng; Jiang, Chen; Liu, Hongwei; Cho, Hyunkyoo; Lee, Ikjin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A mature digital twin (DT) is supposed to enable engineers to accurately evaluate the real-time reliability of a complex engineering system. However, in practical engineering problems, reliability analysis (RA) often ...
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    A New Sequential Sampling Method for Surrogate Modeling Based on a Hybrid Metric 

    Source: Journal of Mechanical Design:;2023:;volume( 146 ):;issue: 006:;page 61705-1
    Author(s): Hu, Weifei; Zhao, Feng; Deng, Xiaoyu; Cong, Feiyun; Wu, Jianwei; Liu, Zhenyu; Tan, Jianrong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Sequential sampling methods have gained significant attention due to their ability to iteratively construct surrogate models by sequentially inserting new samples based on existing ones. However, efficiently and accurately ...
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    A New Validation Metric for Models With Correlated Responses Using Limited Experimental and Simulation Data 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 111702
    Author(s): Hu, Weifei;Zhang, Tongzhou;Liu, Zhenyu;Cheng, Jin;Lou, Yukun;Deng, Xiaoyu;Tan, Jianrong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation is the process of determining the degree to which a model is an accurate representation of the real object. Most of the existing model verification metrics rely on massive data, which are expensive to ...
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    Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks 

    Source: Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 005:;page 051705-1
    Author(s): Hu, Weifei; He, Yihan; Liu, Zhenyu; Tan, Jianrong; Yang, Ming; Chen, Jiancheng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Precise time series prediction serves as an important role in constructing a digital twin (DT). The various internal and external interferences result in highly nonlinear and stochastic time series. Although artificial ...
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