ANFIS Approach for Noise Reduction of Lightning Current Online Monitoring System

摘要：

A novel de-noising algorithm, based on adaptive neural-fuzzy inference system (ANFIS) is proposed for noise reduction of the lightning current online monitoring system.The paper presents the theory and the implement procedure of the fuzzy neural system.Comparisons among the traditional strategies, such as curve fitting (CF), wavelet transform (WT) methods and the proposed ANFIS strategy are carried out.The simulation results demonstrate the superiority of the proposed method.Moreover, the employed approach has been tested on the practical measured current of lightning current online monitoring system.The testing results validate the proposed approach.

关键词： lightning current online monitoring system denoise ANFIS curve fitting (CF) wavelet transform (WT)

作者: Nan-nan Yan Zheng-cai Fu Qin Zhou

作者单位: Key Laboratory of Control of Power Transmission and Conversion,Ministry of EducationDepartment of El Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education Department of E

会议类型: 国际会议

会议名称: 第七届亚太防雷国际会议

会议地点: 成都

会议语种:英文

页码: 1-7

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）