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

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

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

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Pages (from-to)	494-503
Number of pages	10
Journal	Global Energy Interconnection
Volume	3
Issue number	5
DOIs	https://doi.org/10.1016/j.gloei.2020.11.009
State	Published - Oct 2020

Keywords

Chromatic
Feature extraction
Partial discharge
Ultra-high frequency

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.gloei.2020.11.009

Cite this

@article{00efea7d7f344e6487f3ea4e7cdcf0ff,

title = "Chromatic processing for feature extraction of PD-induced UHF signals in GIS",

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.",

keywords = "Chromatic, Feature extraction, Partial discharge, Ultra-high frequency",

author = "Xi Li and Zhixiang Wang and Xiaohua Wang and Mingzhe Rong and Di Liu",

note = "Publisher Copyright: {\textcopyright} 2020 Global Energy Interconnection Development and Cooperation Organization",

year = "2020",

month = oct,

doi = "10.1016/j.gloei.2020.11.009",

language = "英语",

volume = "3",

pages = "494--503",

journal = "Global Energy Interconnection",

issn = "2096-5117",

publisher = "KeAi Publishing Communications Ltd.",

number = "5",

}

TY - JOUR

T1 - Chromatic processing for feature extraction of PD-induced UHF signals in GIS

AU - Li, Xi

AU - Wang, Zhixiang

AU - Wang, Xiaohua

AU - Rong, Mingzhe

AU - Liu, Di

PY - 2020/10

Y1 - 2020/10

N2 - 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.

AB - 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.

KW - Chromatic

KW - Feature extraction

KW - Partial discharge

KW - Ultra-high frequency

UR - https://www.scopus.com/pages/publications/85110659304

U2 - 10.1016/j.gloei.2020.11.009

DO - 10.1016/j.gloei.2020.11.009

M3 - 文章

AN - SCOPUS:85110659304

SN - 2096-5117

VL - 3

SP - 494

EP - 503

JO - Global Energy Interconnection

JF - Global Energy Interconnection

IS - 5

ER -

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

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this