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Weifei Hu
Weifei Hu
School of Mechanical Engineering, Zhejiang University
Verified email at zju.edu.cn - Homepage
Title
Cited by
Cited by
Year
Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty
W Hu, KK Choi, H Cho
Structural and multidisciplinary optimization 54, 953-970, 2016
1412016
Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network
L Hu, Z Liu, W Hu, Y Wang, J Tan, F Wu
Journal of Manufacturing Systems 55, 1-14, 2020
1382020
Structural reliability analysis of wind turbines: a review
Z Jiang, W Hu, W Dong, Z Gao, Z Ren
Energies 10 (12), 1-25, 2017
1182017
Digital twin: A state-of-the-art review of its enabling technologies, applications and challenges
W Hu, T Zhang, X Deng, Z Liu, J Tan
Journal of Intelligent Manufacturing and Special Equipment 2 (1), 1-34, 2021
812021
TBM performance prediction with Bayesian optimization and automated machine learning
Q Zhang, W Hu, Z Liu, J Tan
Tunnelling and Underground Space Technology 103, 103493, 2020
782020
Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades
W Hu, KK Choi, O Zhupanska, JHJ Buchholz
Structural and multidisciplinary optimization 53, 375-394, 2016
762016
Design optimization of mooring system: An application to a vessel-shaped offshore fish farm
L Li, Z Jiang, M Chen, W Hu
Engineering Structures 197, 109363, 2019
522019
Multi-objective structural optimization of a HAWT composite blade based on ultimate limit state analysis
W Hu, I Han, SC Park, DH Choi
Journal of mechanical science and technology 26, 129-135, 2012
512012
Investigation of the effects of receptors on the lightning strike protection of wind turbine blades
Y Wang, W Hu
IEEE Transactions on Electromagnetic Compatibility 59 (4), 1180-1187, 2017
482017
Toward a digital twin: time series prediction based on a hybrid ensemble empirical mode decomposition and BO-LSTM neural networks
W Hu, Y He, Z Liu, J Tan, M Yang, J Chen
Journal of Mechanical Design 143 (5), 051705, 2021
362021
Observed gust wind speeds in the coterminous United States, and their relationship to local and regional drivers
F Letson, SC Pryor, RJ Barthelmie, W Hu
Journal of Wind Engineering and Industrial Aerodynamics 173, 199-209, 2018
332018
Characterizing wind gusts in complex terrain
F Letson, RJ Barthelmie, W Hu, SC Pryor
Atmospheric Chemistry and Physics 19 (6), 3797-3819, 2019
312019
Structural optimization procedure of a composite wind turbine blade for reducing both material cost and blade weight
W Hu, D Park, DH Choi
Engineering Optimization 45 (12), 1469-1487, 2013
312013
A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion
W Hu, W Chen, X Wang, Z Jiang, Y Wang, AS Verma, JJE Teuwen
Renewable Energy 170, 236-250, 2021
292021
Wind gust characterization at wind turbine relevant heights in moderately complex terrain
W Hu, F Letson, RJ Barthelmie, SC Pryor
Journal of Applied Meteorology and Climatology 57 (7), 1459-1476, 2018
292018
Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads
PA Kulkarni, W Hu, AS Dhoble, PM Padole
Advances in Mechanical Engineering 9 (9), 1-26, 2017
202017
Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine
M Shi, W Hu, M Li, J Zhang, X Song, W Sun
Mechanical Systems and Signal Processing 188, 110022, 2023
182023
Advanced Wind Turbine Technology
W Hu
Springer International Publishing, 2018
172018
A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping
W Hu, C Wang, F Liu, X Peng, P Sun, J Tan
Robotics and Computer-Integrated Manufacturing 77, 102371, 2022
162022
Gain prediction and compensation for subarray antenna with assembling errors based on improved XGBoost and transfer learning
F Guo, Z Liu, W Hu, J Tan
IET Microwaves, Antennas & Propagation 14 (6), 551-558, 2020
162020
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