DocumentCode
1754111
Title
Support Vector Machine for Classification and its Application to the Small Current Grounding Fault Line Detection in Peterson-Coil-Grounding System
Author
Yan-wen, Wang ; Fei, Long ; Zhong-xiang, Zuo
Author_Institution
China Univ. of Min. & Technol., Beijing, China
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
727
Lastpage
730
Abstract
In Peterson-coil-grounding system(PCGS), the electric parameters in grounding fault have different electric characteristics, and the working situation of PCGS can be recognized by electric parameters of system. In this paper, support vector machines for classification(SVMC)are used to recognize the working situation of PCGS and to detect the fault line or bus. Simulation results show that the method is effective, accurate and can effectively improve the accuracy of fault lines, has some practical value.
Keywords
earthing; support vector machines; PCGS; Peterson coil grounding system; SVMC; current grounding fault line detection; fault line detection; support vector machine for classification; Circuit faults; Coils; Grounding; Kernel; Pattern recognition; Support vector machines; Training; ground fault line detection; pattern recognition; power system; support vector machines for classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.189
Filename
5750723
Link To Document