DocumentCode
547317
Title
The new detection system for missing bearing´s rolling elements in double row ball bearing
Author
Xu Qiaoyu ; Peng Ping
Author_Institution
Coll. of Mechatron. Eng., Henan Univ. of Sci. & Technol., Luoyang, China
Volume
3
fYear
2011
fDate
10-12 June 2011
Firstpage
162
Lastpage
166
Abstract
In the assembly process of double row ball bearing, the lack of rolling elements is the most serious deficiency problems. The current equipment based on machine vision technique can only detect single row except double-row one. This paper establishes a new detection method and system to supply a gap. The detection system uses digital image processing technology to finish identification for the lack of rolling elements quickly and accurately. Firstly, multiple concentric annulus are used to locate precise position of the bearing; and then the image is scanned in the direction of roundness- expansion to extract rolling elements area and the number of rolling elements are counted by statistics. Finally, the position of missing rolling elements is located by standard block scanning, and it will used to display marked result after coordinate transformation. Experiments has shown that the system is efficient, strong anti-interference, etc., have a good prospect of industrial application.
Keywords
ball bearings; computer vision; image segmentation; rolling bearings; bearings; detection system; digital image processing technology; double row ball bearing; machine vision technique; rolling elements; roundness-expansion; Computers; Image edge detection; Low pass filters; Machine vision; Pixel; Reliability; Transforms; bearing; coordinate transformation; detection; rolling elements;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952656
Filename
5952656
Link To Document