Separation of corona using wavelet packet transform and neural network for detection of partial discharge in gas-insulated substations

Author

Chang, C.S. ; Jin, J. ; Chang, C. ; Hoshino, Toshihiro ; Hanai, Masahiro ; Kobayashi, Nobumitsu

Author_Institution

Nat. Univ. of Singapore, Singapore

Volume

20

Issue

2

fYear

2005

fDate

4/1/2005 12:00:00 AM

Firstpage

1363

Lastpage

1369

Abstract

It is essential to detect partial discharge (PD) as a symptom of insulation breakdown in gas-insulated substations (GIS). However, the accuracy of such measurement is often degraded due to the existence of noise in the signal. In this paper, a method using wavelet packet transform and neural network is proposed to separate the PD pulses from corona in air, which enables more accurate detection of insulation breakdown of GIS.

Keywords

corona; gas insulated substations; neural nets; partial discharges; power system analysis computing; signal classification; wavelet transforms; GIS; PD pulses; corona; gas-insulated substations; insulation breakdown; neural network; partial discharge; wavelet packet transform; Corona; Electric breakdown; Gas insulation; Geographic Information Systems; Neural networks; Partial discharge measurement; Partial discharges; Substations; Wavelet packets; Wavelet transforms; Gas-insulated substations (GIS); neural network; noise reduction; partial discharge; wavelet packet transform;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/TPWRD.2004.839187

Filename

1413401