Research on Variable Speed Fault Detection of High Speed Rotating Gearbox Bearings in Wind Turbines
High speed operation can cause a large amount of vibration and noise in the bearings,making the fault signal mixed with background noise,making it difficult to accurately detect.Once a bearing speed change fault occurs,it will threaten the normal operation of wind turbines.In order to solve this problem,the detection method of variable speed faults in the bearings of the high-speed rotating gearbox of wind turbines is proposed.By using wavelet threshold and empirical mode decomposition methods,the collected vibration signals of high-speed rotating gearbox bearings of wind turbines are denoised;based on Singular value decomposition method,the eigenvector of bearing vibration signal of high-speed rotating gearbox of wind turbine is extracted;by using the grey wolf algorithm support vector machine model,the bearing vari-able speed fault detection is achieved.The experimental results show that the proposed method has a high accuracy in detecting variable speed faults of bearings in high-speed rotating gearbox of wind turbines.
wavelet thresholdsupport vector machinegrey wolf algorithmvariable speed faultwind turbines
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