Classification of partial discharge electrical signals using wavelet transforms

Author

Jang, Jin-Kang ; Kim, Sung-Hong ; Lee, Young-Sang ; Kim, Jae-Hwan

Author_Institution

Dept. of Electr. Eng., Kwangwoon Univ., Seoul, South Korea

fYear

1999

fDate

1999

Firstpage

552

Lastpage

555

Abstract

The wavelet transform has been developed for the analysis of PD pulse signals to further progress in the study of insulation degradation. In this paper, the wavelet transform was applied to one fundamental method for feature extraction. To obtain experimental data, a computer-aided partial discharge measurement system with a single acoustic sensor was used. By applying a neural network method to the accumulated data through the extracted feature, it is possible to detect the PD pulse signal in the insulation materials on-line

Keywords

acoustic emission testing; acoustic signal detection; feature extraction; insulation testing; partial discharge measurement; signal classification; wavelet transforms; PD pulse signal detection; acoustic emission signal; computer-aided partial discharge measurement system; feature extraction; insulation degradation; insulation materials; neural network method; partial discharge electrical signal classification; single acoustic sensor; wavelet transforms; Acoustic pulses; Acoustic sensors; Degradation; Feature extraction; Insulation; Partial discharge measurement; Partial discharges; Signal analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Dielectric Liquids, 1999. (ICDL '99) Proceedings of the 1999 IEEE 13th International Conference on

Conference_Location

Nara

Print_ISBN

0-7803-4759-5

Type

conf

DOI

10.1109/ICDL.1999.798995

Filename

798995