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
         
        
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
         
        
            Conference_Location : 
Shenzhen, Guangdong
         
        
            Print_ISBN : 
978-1-61284-289-9
         
        
        
            DOI : 
10.1109/ICICTA.2011.189