Application of Adaptive Neuro Fuzzy Inference System to the Partial Discharge Pattern Recognition

摘要：

The application of adaptive neuro fuzzy inference system (ANF1S) to the partial discharge (PD) pattern recognition is presented in this paper. Four types of defect models are made according to the main reason of insulation failures in real power system. Experiments are carried out to acquire the sample data, from which eight statistical features are extracted to construct the ANFIS. Different characteristics of the proposed defect models are compared based on the extracted features. Then the ANFIS is trained by characteristic features. Testing samples are utilized to validate the performance of the recognition system. The result shows that ANFIS reaches a successful recognition rate in the application of PD pattern classification.

关键词： power apparatus PD pattern recognition features eztraction ANFIS

作者: Canxin Guo Li Zhang Yong Qian Chengjun Huang Hui Wang Linpeng Yao Xiuchen Jiang

作者单位: Department of Electrical Engineering Shanghai Jiao Tong University Shanghai,China Shanghai Municipal Electrical Power Company Shanghai,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1632-1635

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）