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

On-line Partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing on-line monitoring is discrimination between PD detect signals and external noises. Experimental results using high frequency 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 process are applicable to on-line PD current measurement system.

Original languageEnglish
Pages (from-to)64-70
Number of pages7
JournalIEEJ Transactions on Fundamentals and Materials
Volume138
Issue number2
DOIs
Publication statusPublished - 2018 Jan 1

Fingerprint

Partial discharges
Monitoring
Electric current measurement
Wavelet transforms
Insulation
Fourier transforms
Sensors
Electric potential

Keywords

  • Fourier transform
  • Insulation
  • Noise
  • Online diagnosis
  • Partial discharge
  • Wavelet transform

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Noise discrimination method for partial discharge current focused on damped oscillation waveform. / Torii, Hirotaka; Hayase, Yuji; Yamashiro, Keisuke; Matsumoto, Satoshi.

In: IEEJ Transactions on Fundamentals and Materials, Vol. 138, No. 2, 01.01.2018, p. 64-70.

Research output: Contribution to journalArticle

@article{ced4a2a0369648f6983468afd434b129,
title = "Noise discrimination method for partial discharge current focused on damped oscillation waveform",
abstract = "On-line Partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing on-line monitoring is discrimination between PD detect signals and external noises. Experimental results using high frequency 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 process are applicable to on-line 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 = "1",
day = "1",
doi = "10.1541/ieejfms.138.64",
language = "English",
volume = "138",
pages = "64--70",
journal = "IEEJ Transactions on Fundamentals and Materials",
issn = "0385-4205",
publisher = "The Institute of Electrical Engineers of Japan",
number = "2",

}

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 - 2018/1/1

Y1 - 2018/1/1

N2 - On-line Partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing on-line monitoring is discrimination between PD detect signals and external noises. Experimental results using high frequency 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 process are applicable to on-line PD current measurement system.

AB - On-line Partial discharge (PD) measurement is very important for insulation monitoring of high-voltage equipment. One of the biggest challenges performing on-line monitoring is discrimination between PD detect signals and external noises. Experimental results using high frequency 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 process are applicable to on-line 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=85041389520&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041389520&partnerID=8YFLogxK

U2 - 10.1541/ieejfms.138.64

DO - 10.1541/ieejfms.138.64

M3 - Article

AN - SCOPUS:85041389520

VL - 138

SP - 64

EP - 70

JO - IEEJ Transactions on Fundamentals and Materials

JF - IEEJ Transactions on Fundamentals and Materials

SN - 0385-4205

IS - 2

ER -