A Study of Algorithm and Application in Transient Signals Wavelet Post-Analysis Methods

Author

He, Zhengyou ; Chen, Xiaoqin ; Cai, Yumei

Author_Institution

Dept. of Electr. Eng., Southwest Jiaotong Univ., Chengdu

fYear

2005

fDate

2005

Firstpage

1

Lastpage

6

Abstract

The research and application actuality of wavelet post-analysis methods in electrical transient signal analysis was introduced, and several wavelet post-analysis methods were presented, then wavelet average entropy and wavelet distance entropy were taken as examples to show its feasibility, simulation results showed that wavelet entropy is effective for fault detection, which also opened new train of thoughts on fault classification. Finally, application of several post-analysis methods in power system transient signal was discussed, which showed the importance of wavelet post-analysis

Keywords

fault location; power system faults; power system transients; wavelet transforms; electrical transient signal analysis; fault classification; fault detection; power system transient signal; wavelet average entropy; wavelet distance entropy; wavelet post-analysis methods; Artificial neural networks; Distance measurement; Electrical fault detection; Entropy; Fault detection; Power system transients; Signal analysis; Transient analysis; Wavelet analysis; Wavelet transforms; fault classification; post-analysis methods; transient signal; wavelet entropy;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1546805

Filename

1546805