STUDY ON DETECTION METHOD OF ROTOR AERODYNAMIC IMBALANCE BASED ON CONVOLUTIONAL NEURAL NETWORK

Yang Wangchun; Liang Xue; Sun Chuanzong

doi:10.19912/j.0254-0096.tynxb.2023-1764

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (3) : 531-537. DOI: 10.19912/j.0254-0096.tynxb.2023-1764

STUDY ON DETECTION METHOD OF ROTOR AERODYNAMIC IMBALANCE BASED ON CONVOLUTIONAL NEURAL NETWORK

Yang Wangchun¹, Liang Xue², Sun Chuanzong³

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Abstract

For the problem of identification for rotor imbalance in wind turbine, and to reduce the operation and maintenance cost of wind turbine, an identification method of rotor imbalance based on one-dimensional convolutional neural network is proposed. Firstly, the combination of variational mode decomposition （VMD） and correlation kurtosis calculation is used to realize the perception of the rotor aerodynamic imbalance. Secondly, a recognition method of aerodynamic imbalance based on one-dimensional convolutional neural network is proposed, and the vibration acceleration of the nacelle is taken as the input to identify the specific magnitude of the rotor aerodynamic imbalance. Finally cross-validation was performed in different turbulence intensity and noise environments, and the identification accuracy of the cross validation was more than 95%, which proved that the method could be applied to the diagnosis of rotor imbalance and improve the safety of wind turbine.

Key words

wind turbines / machine learning / fault diagnosis / rotor imbalance / convolutional neural network

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Yang Wangchun, Liang Xue, Sun Chuanzong. STUDY ON DETECTION METHOD OF ROTOR AERODYNAMIC IMBALANCE BASED ON CONVOLUTIONAL NEURAL NETWORK[J]. Acta Energiae Solaris Sinica. 2025, 46(3): 531-537 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1764

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