DocumentCode :
2285058
Title :
The Acquisition of Tooth Profile Curve Based on Image Recognition
Author :
He Yibin ; Zhang Juan ; He Xiaohua ; Chen Dingfang
Author_Institution :
Sch. of Mech. Electr. Eng., Wuhan Inst. of Technol., Wuhan, China
Volume :
3
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
742
Lastpage :
745
Abstract :
Gear wear is a common failure mode of gears transmission. Their usual monitoring methods are influenced by the machine suffered the load, lubrication conditions and other factors. These factors affect the accuracy of monitoring. Therefore, use image recognition technology to overcome these deficiencies, research on diagnosis of gear wear. Studies obtained a better method of gray cutting which can enhance the gear profile, the tooth profile curve of geometric correction methods and formulas, tooth profile curve extraction of the optimal algorithm, and carried out the discrete studies of that extracted tooth profile curve, and made the research of extraction tooth profile curve discretization, as well as a comparative study with the curve which obtained in the analysis method. The results show that the method can obtain the satisfactory actual gear profile curve, obtained the comparison curve is more accurate, intuitive, easy to carry out comparative research, further through the image recognition to determine the degree of gear wear failure to provide possible.
Keywords :
feature extraction; gears; image recognition; lubrication; wear; failure mode; feature extraction; gear wear; gray cutting; image recognition; lubrication; tooth profile curve; Condition monitoring; Electric variables measurement; Gears; Gray-scale; Helium; Image recognition; Lubrication; Mechanical variables measurement; Spectral analysis; Teeth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.267
Filename :
5459008
Link To Document :
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