Online detection method and system for small and micro surface dent defects of bearings

Abstract

The invention belongs to the field of bearing surface defect detection and particularly relates to an online detection method and system for small and micro surface dent defects of bearings to overcome defects of an existing detecting method. According to characteristics of collected bearing images, small and micro outer surface defects of bearings are automatically detected and screened based on the CCD image recognition technology, the online detection system for small and micro surface dent defects of bearings is designed and can recognize and detect image characters of the two end faces of bearings, and the outer circular surfaces and the end faces of bearings in parallel according to the characteristics of collected images of different parts of bearings, parallel analysis and detection can be carried out on different parts of bearings at the same time, and the processing efficiency is high; automation of the small and micro surface defect detection procedure for bearings is achieved, a manual detection method commonly adopted in current enterprises is replaced, the detection precision and efficiency are improved, the defect recognition rate and the removing rate of unqualified products can reach a high level, the production quality is improved, the credibility of enterprises is improved, and the modernization level of enterprises is increased.

Description

technical field [0001] The invention belongs to the field of bearing surface defect detection, in particular to an on-line detection method and system for small and micro bearing surface dent defects. Background technique [0002] Bearings are a very important part in the machinery industry, and their use is extremely common. The machining accuracy and quality of bearings are related to the performance and life of mechanical products, so the inspection of the machining quality of bearings has always been a concern of bearing manufacturers. In the industrial production process, in order to eliminate defective products and find out the hidden dangers of products related to failures, it is necessary to check the quality of products. In the past, it was mostly done by inspectors. This method has disadvantages such as poor reliability due to different people. [0003] In recent years, with the development of my country's bearing industry, bearings have become an important export...

AI Technical Summary

Problems solved by technology

[0007] In view of the above technical problems, the purpose of the present invention is to break through the deficiencies of the existing detection methods, and provide an online detection method and system for small and micro bearing surface dent defects, based on CCD image recognition technology to realize automatic detection of micro bearing outer surface defects, Automate the micro-bearing surface defect detection process to replace the current manual detection method commonly used by enterprises, improve detection accuracy and efficiency, make the defect recognition rate and the removal rate of unqualified products reach a higher level, and improve the overall quality of ex-factory products. Avoid actual losses as much as possible, improve the credibility of the enterprise, and improve the modernization level of the enterprise

Images