Study on Faulty Phase Selection Based on the Wavelet Power Spectrum Entropy and LIBSVM

Author

Wu Hao ; Yang Pingxian ; Chang Zhengwei ; Cai Liang

Author_Institution

Autom. & Electron. Inf. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China

fYear

2012

fDate

14-16 Dec. 2012

Firstpage

497

Lastpage

500

Abstract

Fault phase selection is studied in this paper based on the wavelet power spectrum entropy and LIBSVM for transmission line. First, MATLAB is used to simulate five fault types and obtain a variety of fault voltage waveforms. Second, the simulation waveform is transformed to extract the energy spectrum entropy which is pretreatment to greatly reduce the number of data dimensions and effectively optimize the input data of LIBSVM. Finally, LIBSVM is used to select fault phase, experimental results show that the method is very effective.

Keywords

mathematics computing; power engineering computing; power transmission faults; power transmission lines; support vector machines; wavelet transforms; LIBSVM input data optimization; Matlab; data dimension number reduction; energy spectrum entropy extraction; fault voltage waveforms; faulty phase selection; library for support vector machines; transmission line; wavelet power spectrum entropy; LIBSVM; energy spectrum entropy; fault phase selection; voltage traveling wave;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ISISE), 2012 International Symposium on

Conference_Location

Shanghai

ISSN

2160-1283

Print_ISBN

978-1-4673-5680-0

Type

conf

DOI

10.1109/ISISE.2012.120

Filename

6495396