Title of article
Separation of Corona Using Wavelet Packet Transform and Neural Network for Detection of Partial Discharge in Gas-Insulated Substations
Author/Authors
C. S. Chang، نويسنده , , J. Jin، نويسنده , , C. Chang، نويسنده , , T. Hoshino، نويسنده , , and M. Hanai، نويسنده , , N. Kobayashi، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
7
From page
1363
To page
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
neural network , Gas-insulated substations (GIS) , partial discharge , noise reduction , wavelet packet transform.
Journal title
IEEE TRANSACTIONS ON POWER DELIVERY
Serial Year
2005
Journal title
IEEE TRANSACTIONS ON POWER DELIVERY
Record number
400942
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