Improved HHT and Its Application in Wind Turbine Bearing Fault Diagnosis
To solve the problems in extracting wind turbine bearing fault features,the improved HHT based on correlation analysis is proposed.By using EMD,an approximately orthogonal decomposition method,the correlation coefficient between the residual component and the original signal is taken as a threshold to adaptively filter IMF,solving the problem of the pseudo-IMF caused by cubic spline fitting error.Simulation analysis has verified this method.This method was employed to analyze the bearing vibration signal of D70 1.5 MW wind turbine,and diagnose bearing faults.Thus the method can be applied to engineering practice.
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