E3S Web Conf.
Volume 136, 20192019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|Number of page(s)||6|
|Section||Ultra-Low Energy Consumption Building Technology|
|Published online||10 December 2019|
Pattern Recognition of Partial Discharge by Using Scale parameters-Energy Entropy Characteristic Pairs
NR Electric Co. Ltd. Nanjing, 211102, China
* Corresponding author’s e-mail: firstname.lastname@example.org
In this paper, the complex wavelet transform (CWT) was used to process the ultra-high frequency partial discharge (UHF PD) signal in gas insulated switchgear (GIS) at different scales. The trend curves of complex wavelet transform energy entropy (CWT-EE) under different decomposition scale were analyzed, and it was found that the PD feature information mainly distributed in the scales, in which the gradient of CWT-EE is big. Besides, The CWT-EE characteristics and their scales were extracted to the structure characteristic pairs for PD type identification. The recognition results show that the characteristic pair could effectively identify four typical defects in GIS and obviously reduce the feature dimension.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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