2 Si3N4 ceramic bearing inner ring surface defects identification and classification platform construction
The prerequisite for analyzing and predicting surface defects inside the inner ring of Si3N4 ceramic bearings using deep learning models is a large-scale dataset. To produce a Si3N4 ceramic bearing inner ring surface defect dataset, the surface defect images are collected by building a non-destructive inspection platform. The inspection platform is composed of feeding module, image acquisition module and image processing module. The feeding module includes mechanical arm, coaxial rotating gear and motor. The image acquisition module consists of high-speed CCD camera, stereo microscope and LED light source. The image processing module includes image acquisition card, image memory card and industrial PC.