Application of Fuzzy Support Vector Machines to Partial Discharge Pattern Recognition

摘要：

　　In the field of pattern recognition,Support Vector Machines (SVMs) has great advantage than other traditional methods due to its simple structure,strong ability of generalization and good performance in recognizing.The feature of discharge is extracted using the 2D pattern chart and the Fuzzy Support Vector Machines (FSVMs) based on the affinity among samples is used to recognize the discharge models in this paper.Experimental results show that FSVMs has the better robust and classification performance than the SVMs.

关键词： Partial Discharge (PD) Pattern Recognition Fuzzy Support Vector Machines

作者: Fu Lihua Lei Wanzhong Zhang Xiaomei

作者单位: Henan Institute of Engineering Zhengzhou 451191

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1498-1501

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）