Please use this identifier to cite or link to this item:
Title: Recognition of partial discharge waveshape patterns for gas insulated switchgear
Authors: Chang, C.S. 
Lee, K.H. 
Chan, C.
Issue Date: 2005
Citation: Chang, C.S.,Lee, K.H.,Chan, C. (2005). Recognition of partial discharge waveshape patterns for gas insulated switchgear. Australian Journal of Electrical and Electronics Engineering 2 (3) : 191-196. ScholarBank@NUS Repository.
Abstract: Early warning system based on the detection of UHF SF 6 partial discharge (PD) signals is a necessary means for the protection of Gas-Insulated Switchgear (GIS) in service as well as the power system to which it is connected. In order to ensure the safe and reliable operation of GIS, it is important to adopt an effective diagnosing method, which is able to identify signals of harmful defects promptly. Unlike approaches such as Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) based techniques, a novel approach to extract discriminative features directly from time-domain UHF signals is introduced in this paper. With the proposed approach, UHF signal waveforms of different sources are partitioned and quantified so that the harmful (SF 6PD) and not-so-harmful (air corona) UHF signals are classified promptly. The investigation is based on the experiment data measured from a 300 KV GIS with encouraging results, which proves the usefulness of this proposed approach. © Institution of Engineers.
Source Title: Australian Journal of Electrical and Electronics Engineering
ISSN: 1448837X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Aug 2, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.