In order to avoid the problem of safe operation of wind power plant caused by wind turbine blade fault,a wind turbine blade fault diagnosis method based on aerodynamic noise signal detection model and wireless sensor is proposed to accurately diagnose the blade fault.On the basis of analyzing the aerodynamic noise signal,an intelligent monitoring terminal based on wireless sensor is constructed to collect the aerodynamic noise signal,input the collected signal into the aerodynam-ic noise signal detection model,standardize the aerodynamic noise signal,decompose the signal into multiple PRC compo-nents using ITD method,calculate the PRC component energy of the aerodynamic noise signal,reconstruct the feature vector and perform PCA dimension reduction processing.The dimensionality reduction feature vector is used as the data basis of support vector machine,and the feature vector is classified by support vector machine to complete the fault diagnosis of wind turbine blades.The experimental results show that the method can extract the characteristics of aerodynamic noise signal ob-viously,and can accurately diagnose the fault of wind turbine blades,with the classification accuracy of 93％,and the diag-nosis result is basically the same as the actual classification result,which has a good effect on the fault diagnosis of wind tur-bine blades.
万方数据
维普
