Icing condition prediction of wind turbine blade by using artificial neural network based on modal frequency

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Modal Frequency ◽

An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.107766 ◽

2021 ◽

Vol 159 ◽

pp. 107766

Author(s):

Artur Movsessian ◽

David García Cava ◽

Dmitri Tcherniak

Keyword(s):

Neural Network ◽

Damage Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Development of Artificial Neural Network Model in Predicting Performance of the Smart Wind Turbine Blade

JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES ◽

10.15282/jmes.6.2014.1.0071 ◽

2014 ◽

Vol 6 ◽

pp. 734-745 ◽

Cited By ~ 1

Author(s):

E.E. Supeni ◽

J.A. Epaarachchi ◽

M.M. Islam ◽

K.T. Lau

Keyword(s):

Neural Network ◽

Wind Turbine ◽

Turbine Blade ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Wind Turbine Blade ◽

Predicting Performance ◽

Application of Artificial Neural Network for Fatigue Analysis in Wind Turbine Blade

10.23967/wccm-eccomas.2020.067 ◽

2021 ◽

Author(s):

W. Veloz ◽

H. Bai ◽

Y. Aoues ◽

D. Lemosse

Keyword(s):

Neural Network ◽

Wind Turbine ◽

Turbine Blade ◽

Fatigue Analysis ◽

Wind Turbine Blade ◽

2021 International Seminar on Intelligent Technology and Its Applications (ISITIA) ◽

MPPT of 1.5 kW Wind Turbine With Pitch and Voltage Control Based on Artificial Neural Network

10.1109/isitia52817.2021.9502257 ◽

2021 ◽

Author(s):

Feby Agung Pamuji ◽

Muhammad Ulil lAzmi ◽

Dedet C. Riawan

Keyword(s):

Neural Network ◽

Wind Turbine ◽

Voltage Control ◽

Spatio-Temporal Attention-based Neural Network for Wind Turbine Blade Cracking Fault Detection

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327166 ◽

2020 ◽

Author(s):

Zheng Zheng ◽

Qun He ◽

Guoqian Jiang ◽

Feifei Yin ◽

Xin Wu ◽

...

Keyword(s):

Neural Network ◽

Fault Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Temporal Attention ◽

Spatio Temporal

Artificial Neural Network Based Prediction Of Wind Turbine Power Curve Using Various Training Algorithms

10.32393/csme.2021.136 ◽

2021 ◽

Author(s):

Muhammad U Saram ◽

Jianming Yang ◽

Zaheer Ahmad ◽

Sadaf Zahoor

Keyword(s):

Neural Network ◽

Wind Turbine ◽

Training Algorithms ◽

Power Curve ◽

Wind turbine power modelling and optimization using artificial neural network with wind field experimental data

Applied Energy ◽

10.1016/j.apenergy.2020.115880 ◽

2020 ◽

Vol 280 ◽

pp. 115880 ◽

Cited By ~ 1

Author(s):

Haiying Sun ◽

Changyu Qiu ◽

Lin Lu ◽

Xiaoxia Gao ◽

Jian Chen ◽

...

Keyword(s):

Neural Network ◽

Experimental Data ◽

Wind Turbine ◽

Wind Field ◽

Artificial Neural ◽

Modelling And Optimization

MPPT Based PMSG Wind Turbine System Using Sliding Model Control (SMC) and Artificial Neural Network (ANN) Based Regression Analysis

IETE Journal of Research ◽

10.1080/03772063.2019.1662336 ◽

2019 ◽

pp. 1-9

Author(s):

Nirmal Kumar Agarwal ◽

Pradip Kumar Sadhu ◽

Suprava Chakraborty

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Wind Turbine ◽

Wind Turbine System ◽

Model Control ◽

Artificial Neural ◽

Artificial Neural Network Ann

Author response for "Performance enhancement of the artificial neural network–based reinforcement learning for wind turbine yaw control"

10.1002/we.2451/v2/response1 ◽

2019 ◽

Author(s):

Aitor Saenz‐Aguirre ◽

Ekaitz Zulueta ◽

Unai Fernandez‐Gamiz ◽

Alain Ulazia ◽

Daniel Teso‐Fz‐Betono

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Wind Turbine ◽

Performance Enhancement ◽

Author Response ◽

Yaw Control ◽

Decision letter for "Performance enhancement of the artificial neural network–based reinforcement learning for wind turbine yaw control"

10.1002/we.2451/v1/decision1 ◽

2019 ◽

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Wind Turbine ◽

Performance Enhancement ◽

Yaw Control ◽