Chromatic processing for feature extraction of PD-induced UHF signals in GIS

Xi Li; Zhixiang Wang; Xiaohua Wang; Mingzhe Rong; Di Liu

doi:10.1016/j.gloei.2020.11.009

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Chromatic processing for feature extraction of PD-induced UHF signals in GIS

Secure Power | 更新时间：2026-07-15

- Chromatic processing for feature extraction of PD-induced UHF signals in GIS
- Global Energy Interconnection Vol. 3, Issue 5, Pages: 494-503(2020)
- 作者机构：
  
  1. Global Energy Interconnection Development and Cooperation Organization, Xicheng District,Beijing,P. R. China,100031
  2. ABB (China) Ltd., Beijing Eco. & Tech. Development Area,Beijing,P. R. China,100176
  3. State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University,Shaanxi Province,Xi’an,P. R. China,710049
  4. The University of Melbourne, Parkville,Victoria,Australia,3010
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2020.11.009
  CLC：
- Online First：09 December 2020，
  
  Published：09 December 2020
- 稿件说明：
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Xi Li, Zhixiang Wang, Xiaohua Wang, et al. Chromatic processing for feature extraction of PD-induced UHF signals in GIS[J]. Global Energy Interconnection, 2020, 3(5): 494-503.
DOI：

Xi Li, Zhixiang Wang, Xiaohua Wang, et al. Chromatic processing for feature extraction of PD-induced UHF signals in GIS[J]. Global Energy Interconnection, 2020, 3(5): 494-503. DOI： 10.1016/j.gloei.2020.11.009.

摘要

Abstract

Partial discharge (PD) detection is an effective means of discovering insulation faults in gas-insulated switchgear (GIS). One of the most extensively used methods in PD detection has historically been the ultrahigh frequency (UHF) method. This study evaluates the chromatic processing methodology and its key factors for feature extraction of UHF signals in GIS. Three types of artificial defects are installed in the GIS tank at 0°

90°

and 180°

respectively. The features of the UHF signals are extracted in the chromatic space

and PD discrimination of the defects is achieved. The influences of processors are studied before the feature selections are suggested. The time-stepping method is proposed to determine the rules of UHF signal frequency characteristics that vary with time. Finally

the process and options of the chromatics-inspired methodology are summarized.

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