Title :
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
fDate :
4/1/2005 12:00:00 AM
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;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2004.839187
