Support Vector Machine for Classification and its Application to the Small Current Grounding Fault line Detection in Peterson-Coil-Grounding System

摘要：

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 cIassification(SVMC)are used to recognize the working situation of PCGS and to detect the fault line or bus. Simulation results show that the method b effective, accurate and can effectively improve the accuracy of fault lines, has some practical value.

关键词： power system ground fault line detection support vector machines for classification pattern recognition

作者: WANG Yan-wen LONG Fei ZUO Zhong-xiang

作者单位: China University of Mining and Technology Beijing 10083, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 727-730

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）