Noise Discrimination Method for Partial Discharge Current Focused on Damped Oscillation Waveform

Hirotaka Torii, Yuji Hayase, Keisuke Yamashiro, Satoshi Matsumoto

Research output: Contribution to journalArticle

Abstract

Online partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing online monitoring is discrimination between PD detect signals and external noises. Experimental results using high-frequency current transformer (CT) sensor show that the current waveforms associated with various PD signals are all damped cosine waveforms, and have unique frequency and decay times of damped oscillation. Therefore, we focused attention on the damped oscillation waveform of the PD current, especially damped cosine waveform having a different number of oscillations. In addition to this, the noise discrimination method using wavelet transform or short-time Fourier transform is effective. Those noise discriminating processes are applicable to online PD current measurement system.

Original languageEnglish
Pages (from-to)3-10
Number of pages8
JournalElectronics and Communications in Japan
Volume101
Issue number6
DOIs
Publication statusPublished - 2018 Jun 1

Fingerprint

Partial discharges
discrimination
waveforms
oscillations
Electric instrument transformers
Monitoring
Electric current measurement
transformers
insulation
wavelet analysis
Wavelet transforms
Insulation
high voltages
Fourier transforms
sensors
Sensors
Electric potential
decay

Keywords

  • Fourier transform
  • insulation
  • noise
  • online diagnosis
  • partial discharge
  • wavelet transform

ASJC Scopus subject areas

  • Signal Processing
  • Physics and Astronomy(all)
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Noise Discrimination Method for Partial Discharge Current Focused on Damped Oscillation Waveform. / Torii, Hirotaka; Hayase, Yuji; Yamashiro, Keisuke; Matsumoto, Satoshi.

In: Electronics and Communications in Japan, Vol. 101, No. 6, 01.06.2018, p. 3-10.

Research output: Contribution to journalArticle

@article{90cae6edef604c189eb9f8c905349063,
title = "Noise Discrimination Method for Partial Discharge Current Focused on Damped Oscillation Waveform",
abstract = "Online partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing online monitoring is discrimination between PD detect signals and external noises. Experimental results using high-frequency current transformer (CT) sensor show that the current waveforms associated with various PD signals are all damped cosine waveforms, and have unique frequency and decay times of damped oscillation. Therefore, we focused attention on the damped oscillation waveform of the PD current, especially damped cosine waveform having a different number of oscillations. In addition to this, the noise discrimination method using wavelet transform or short-time Fourier transform is effective. Those noise discriminating processes are applicable to online PD current measurement system.",
keywords = "Fourier transform, insulation, noise, online diagnosis, partial discharge, wavelet transform",
author = "Hirotaka Torii and Yuji Hayase and Keisuke Yamashiro and Satoshi Matsumoto",
year = "2018",
month = "6",
day = "1",
doi = "10.1002/ecj.12067",
language = "English",
volume = "101",
pages = "3--10",
journal = "Electronics and Communications in Japan",
issn = "1942-9533",
publisher = "Scripta Technica",
number = "6",

}

TY - JOUR

T1 - Noise Discrimination Method for Partial Discharge Current Focused on Damped Oscillation Waveform

AU - Torii, Hirotaka

AU - Hayase, Yuji

AU - Yamashiro, Keisuke

AU - Matsumoto, Satoshi

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Online partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing online monitoring is discrimination between PD detect signals and external noises. Experimental results using high-frequency current transformer (CT) sensor show that the current waveforms associated with various PD signals are all damped cosine waveforms, and have unique frequency and decay times of damped oscillation. Therefore, we focused attention on the damped oscillation waveform of the PD current, especially damped cosine waveform having a different number of oscillations. In addition to this, the noise discrimination method using wavelet transform or short-time Fourier transform is effective. Those noise discriminating processes are applicable to online PD current measurement system.

AB - Online partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing online monitoring is discrimination between PD detect signals and external noises. Experimental results using high-frequency current transformer (CT) sensor show that the current waveforms associated with various PD signals are all damped cosine waveforms, and have unique frequency and decay times of damped oscillation. Therefore, we focused attention on the damped oscillation waveform of the PD current, especially damped cosine waveform having a different number of oscillations. In addition to this, the noise discrimination method using wavelet transform or short-time Fourier transform is effective. Those noise discriminating processes are applicable to online PD current measurement system.

KW - Fourier transform

KW - insulation

KW - noise

KW - online diagnosis

KW - partial discharge

KW - wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=85044611689&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044611689&partnerID=8YFLogxK

U2 - 10.1002/ecj.12067

DO - 10.1002/ecj.12067

M3 - Article

AN - SCOPUS:85044611689

VL - 101

SP - 3

EP - 10

JO - Electronics and Communications in Japan

JF - Electronics and Communications in Japan

SN - 1942-9533

IS - 6

ER -