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Journal Articles

A New Sequential Sampling Method for Surrogate Modeling Based on a Hybrid Metric

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Weifei Hu, Feng Zhao, Xiaoyu Deng, Feiyun Cong, Jianwei Wu, Zhenyu Liu, Jianrong Tan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2024, 146(6): 061705.
Paper No: MD-23-1570
https://doi.org/10.1115/1.4064163
Published Online: December 18, 2023
View Articletitled, A New Sequential Sampling Method for Surrogate Modeling Based on a Hybrid Metric
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Topics: Errors, Metamodeling, Sampling methods, Design, Experimental design, Entropy
Journal Articles

Surrogate-Based Time-Dependent Reliability Analysis for a Digital Twin

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Weifei Hu, Jiquan Yan, Feng Zhao, Chen Jiang, Hongwei Liu, Hyunkyoo Cho, Ikjin Lee
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2023, 145(9): 091708.
Paper No: MD-23-1042
https://doi.org/10.1115/1.4062668
Published Online: July 18, 2023
View Articletitled, Surrogate-Based Time-Dependent Reliability Analysis for a Digital Twin
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Topics: Digital twin, Event history analysis, Failure, Probability, Stochastic processes, Errors, Reliability
Journal Articles

A New Validation Metric for Models With Correlated Responses Using Limited Experimental and Simulation Data

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Weifei Hu, Tongzhou Zhang, Zhenyu Liu, Jin Cheng, Yukun Lou, Xiaoyu Deng, Jianrong Tan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2022, 144(11): 111702.
Paper No: MD-22-1115
https://doi.org/10.1115/1.4054877
Published Online: July 22, 2022
View Articletitled, A New Validation Metric for Models With Correlated Responses Using Limited Experimental and Simulation Data
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Topics: Model validation, Simulation, Uncertainty, Ultrasonic welding, Simulation models
Journal Articles

Estimation of Small Failure Probability Based on Adaptive Subset Simulation and Deep Neural Network

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Xiang Peng, Yujie Shao, Weifei Hu, Jiquan Li, Zhenyu Liu, Shaofei Jiang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2022, 144(10): 101704.
Paper No: MD-22-1030
https://doi.org/10.1115/1.4054807
Published Online: July 1, 2022
View Articletitled, Estimation of Small Failure Probability Based on Adaptive Subset Simulation and Deep Neural Network
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Topics: Failure, Probability, Simulation
eBook Chapter

Artificial Intelligence in Wind Energy

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Publisher: ASME
Published: 2022
https://doi.org/10.1115/1.885727_ch6
ISBN: 9780791885727
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Topics: Artificial intelligence, Wind energy, Wind velocity, Wind power
Journal Articles

Robust Topology Optimization of Graphene Platelets Reinforced Functionally Graded Materials Considering Hybrid Bounded Uncertainties

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Jin Cheng, Wei Lu, Yibin Lou, Weifei Hu, Zhenyu Liu, Jianrong Tan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2022, 144(5): 051704.
Paper No: MD-21-1500
https://doi.org/10.1115/1.4053045
Published Online: December 6, 2021
View Articletitled, Robust Topology Optimization of Graphene Platelets Reinforced Functionally Graded Materials Considering Hybrid Bounded Uncertainties
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Topics: Functionally graded materials, Graphene, Optimization, Platelets, Stress, Topology, Uncertainty, Design, Materials properties
Proceedings Papers

A New Robot Path Planning Method Based on LSTM Neural Network and Rapidly-Exploring Random Tree Algorithm

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Weifei Hu, Feng Tang, Zhenyu Liu, Jianrong Tan
Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A006, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71234
https://doi.org/10.1115/DETC2021-71234
View Paper titled, A New Robot Path Planning Method Based on LSTM Neural Network and Rapidly-Exploring Random Tree Algorithm
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Topics: Algorithms, Artificial neural networks, Path planning, Robots
Proceedings Papers

Deep Reinforcement Learning Enhanced Convolutional Neural Networks for Robotic Grasping

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Jianhao Fang, Weifei Hu, Chuxuan Wang, Zhenyu Liu, Jianrong Tan
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A036, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-67225
https://doi.org/10.1115/DETC2021-67225
View Paper titled, Deep Reinforcement Learning Enhanced Convolutional Neural Networks for Robotic Grasping
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Topics: Artificial neural networks, Grasping, Reinforcement learning
Proceedings Papers

A CapsNet-Based Fault Diagnosis Method for a Digital Twin of a Wind Turbine Gearbox

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Hao Zhao, Weifei Hu, Zhenyu Liu, Jianrong Tan
Proc. ASME. POWER2021, ASME 2021 Power Conference, V001T09A016, July 20–22, 2021
Publisher: American Society of Mechanical Engineers
Paper No: POWER2021-66029
https://doi.org/10.1115/POWER2021-66029
View Paper titled, A CapsNet-Based Fault Diagnosis Method for a Digital Twin of a Wind Turbine Gearbox
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Topics: Fault diagnosis, Mechanical drives, Wind turbines
Journal Articles

Effects of Onshore and Offshore Environmental Parameters on the Leading Edge Erosion of Wind Turbine Blades: A Comparative Study

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Amrit Shankar Verma, Zhiyu Jiang, Zhengru Ren, Weifei Hu, Julie J. E. Teuwen
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research Papers
J. Offshore Mech. Arct. Eng. August 2021, 143(4): 042001.
Paper No: OMAE-20-1052
https://doi.org/10.1115/1.4049248
Published Online: January 12, 2021
View Articletitled, Effects of Onshore and Offshore Environmental Parameters on the Leading Edge Erosion of Wind Turbine Blades: A Comparative Study
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Topics: Blades, Damage, Drops, Erosion, Ocean engineering, Stress, Waves, Rotating blades, Wind, Turbulence
Journal Articles

Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks

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Weifei Hu, Yihan He, Zhenyu Liu, Jianrong Tan, Ming Yang, Jiancheng Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2021, 143(5): 051705.
Paper No: MD-20-1093
https://doi.org/10.1115/1.4048414
Published Online: November 17, 2020
View Articletitled, Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks
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Topics: Artificial neural networks, Time series, Wind velocity, Waves
Proceedings Papers

A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin

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Weifei Hu, Yihan He, Zhenyu Liu, Jianrong Tan, Ming Yang, Jiancheng Chen
Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T08A009, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: POWER2020-16500
https://doi.org/10.1115/POWER2020-16500
View Paper titled, A Hybrid Wind Speed Prediction Approach Based on Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks for Digital Twin
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Topics: Artificial neural networks, Optimization, Time series, Wind velocity
Proceedings Papers

Wind Turbine Blade Coating Fatigue Induced by Raindrop Impact

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Weifei Hu, Weiyi Chen, Xiaobo Wang, Zhenyu Liu, Jianrong Tan, Yeqing Wang
Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T08A010, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: POWER2020-16510
https://doi.org/10.1115/POWER2020-16510
View Paper titled, Wind Turbine Blade Coating Fatigue Induced by Raindrop Impact
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Topics: Blades, Coating processes, Coatings, Fatigue, Fracture (Materials), Texture (Materials), Wind turbines
Proceedings Papers

Reliability Analysis of Offshore Wind Turbines Using Copula

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Weifei Hu, Zhiyu Jiang, Yeqing Wang
Proc. ASME. POWER2018, Volume 1: Fuels, Combustion, and Material Handling; Combustion Turbines Combined Cycles; Boilers and Heat Recovery Steam Generators; Virtual Plant and Cyber-Physical Systems; Plant Development and Construction; Renewable Energy Systems, V001T06A006, June 24–28, 2018
Publisher: American Society of Mechanical Engineers
Paper No: POWER2018-7195
https://doi.org/10.1115/POWER2018-7195
View Paper titled, Reliability Analysis of Offshore Wind Turbines Using Copula
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Topics: Event history analysis, Offshore wind turbines, Offshore structures, Stress, Density, Design, Fatigue, Maintenance, Ocean engineering, Seas
Proceedings Papers

Use of Seismic Analyses for the Wind Energy Industry

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Weifei Hu, S. C. Pryor, F. Letson, R. J. Barthelmie
Proc. ASME. POWER2017-ICOPE-17, Volume 2: I&C, Digital Controls, and Influence of Human Factors; Plant Construction Issues and Supply Chain Management; Plant Operations, Maintenance, Aging Management, Reliability and Performance; Renewable Energy Systems: Solar, Wind, Hydro and Geothermal; Risk Management, Safety and Cyber Security; Steam Turbine-Generators, Electric Generators, Transformers, Switchgear, and Electric BOP and Auxiliaries; Student Competition; Thermal Hydraulics and Computational Fluid Dynamics, V002T09A015, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: POWER-ICOPE2017-3538
https://doi.org/10.1115/POWER-ICOPE2017-3538
View Paper titled, Use of Seismic Analyses for the Wind Energy Industry
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Topics: Seismic analysis, Wind energy, Turbines, Vibration, Wind turbines, Condition monitoring, Density, Electromagnetic spectrum, Probability, Sensors
Proceedings Papers

Optimization Design of Composite Wind Turbine Blades Integrating Lightning Strike Analysis

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Weifei Hu, Yeqing Wang
Proc. ASME. ES2017, ASME 2017 11th International Conference on Energy Sustainability, V001T13A002, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: ES2017-3544
https://doi.org/10.1115/ES2017-3544
View Paper titled, Optimization Design of Composite Wind Turbine Blades Integrating Lightning Strike Analysis
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Topics: Blades, Composite materials, Design, Lightning, Optimization, Wind turbines, Breakdown (Electricity), Electric fields, Laminates, Safety
Journal Articles

Use of Seismic Analyses for the Wind Energy Industry

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Weifei Hu, S. C. Pryor, Frederick Letson, R. J. Barthelmie
Journal: Journal of Solar Energy Engineering
Publisher: ASME
Article Type: Research-Article
J. Sol. Energy Eng. October 2017, 139(5): 051007.
Paper No: SOL-17-1079
https://doi.org/10.1115/1.4037218
Published Online: July 27, 2017
View Articletitled, Use of Seismic Analyses for the Wind Energy Industry
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Topics: Seismic analysis, Wind energy, Wind turbines, Turbines, Condition monitoring, Yaw, Wind, Vibration, Spectral energy distribution