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

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6 Author(s)
C. S. Chang ; Nat. Univ. of Singapore, Singapore ; J. Jin ; C. Chang ; T. Hoshino
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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.

Published in:

IEEE Transactions on Power Delivery  (Volume:20 ,  Issue: 2 )