Application of Image Processing Sensor and Pattern Recognition in Detection of Bearing Surface Defects

In order to solve the problem that the traditional detection technology can not meet the requirements of online detection, a visual detection device for bearing inner ring defects based on image processing and pattern recognition is proposed in this paper. The device systematically designs an image...

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Bibliographic Details
Published in:Journal of sensors 2022-07, Vol.2022, p.1-7
Main Authors: Wu, Qinghong, Zhu, Minghui
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Automation
Bearings
Cameras
Defects
Design
Fault diagnosis
Hardware
Image acquisition
Image processing
Light sources
Machinery
Manufacturers
Object recognition
Pattern recognition
Signal processing
Software
Surface defects
Vision systems
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Summary:In order to solve the problem that the traditional detection technology can not meet the requirements of online detection, a visual detection device for bearing inner ring defects based on image processing and pattern recognition is proposed in this paper. The device systematically designs an image acquisition device of bearing inner ring based on CCD. In the hardware scheme, the appropriate lens, camera, light source, and other related hardware are selected according to the actual needs, a complete image acquisition platform of bearing inner ring is built, and the software function design is completed. The simulation results show that the qualified rate of machine detection is 98.6%, the missed detection rate is 0, and the false detection rate is 1.4%, which are better than manual detection. Conclusion. The test results show that the bearing inner ring defect detection system can detect the surface defects of bearing inner ring quickly, stably, and reliably, and the detection efficiency and accuracy are higher than the original manual detection method, so it has a good application prospect.
ISSN:1687-725X
1687-7268
DOI:10.1155/2022/7924982