DocumentCode
3583409
Title
Recognition of a Sucker Rod´s Defect with SVM
Author
Sun, Hongchun
Author_Institution
Northeastern Univ., Shenyang, China
Volume
2
fYear
2010
Firstpage
989
Lastpage
991
Abstract
In order to improve the recognition rate of a sucker rod´s defect and reduce the rapture possibility of the rod, the mixed characters include of wavelet packet energy character and the peak value in the time-domain were used to input a recognition network, and support vector machines (SVM) were used. Tested results with lots of data acquired in laboratory showed that SVM based on the mixed characters can enhance recognition rate of the sucker rod´s defect.
Keywords
drilling machines; failure analysis; oil drilling; pattern recognition; production engineering computing; rods (structures); support vector machines; SVM; defect recognition; rod rapture possibility; sucker rod; support vector machines; time-domain analysis; wavelet packet energy character; Character recognition; Corrosion; Energy measurement; Frequency; Histograms; Noise reduction; Pattern recognition; Support vector machines; Time domain analysis; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.356
Filename
5459638
Link To Document