Surface defect detection and analysis of Si3N4 ceramic bearing inner ring raceway based on shearlet transform
To effectively detect the defects of pits,scratches and abrasions on the raceway surface of Si3N4 ceramic bearing inner ring in aviation power system,median filter was used to remove original image scattered noise of Si3N4 ceramic bearing inner ring channel,and conduct its processing image's shear wave transform,and the normalized threshold surface method was adopted to reconstruct the conversion coefficient of shear wave,enable shear wave inverse transformation for defect enhancing image,gray threshold segmentation for defect enhancing image classification and recognition,and position to extract the defect.The surface defect detection method of Si3N4 ceramic bearing inner racetrack based on shear wave transform can effectively detect the surface defect of Si3N4 ceramic bearing inner racetrack.This method can extract surface defects of inner raceways of Si3N4 ceramic bearing with 97.50％accuracy,which can meet the expected requirements.
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