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

Hirotaka Torii; Yuji Hayase; Keisuke Yamashiro; Satoshi Matsumoto

doi:10.1002/ecj.12067

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

Hirotaka Torii, Yuji Hayase, Keisuke Yamashiro, Satoshi Matsumoto

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

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 language	English
Pages (from-to)	3-10
Number of pages	8
Journal	Electronics and Communications in Japan
Volume	101
Issue number	6
DOIs	https://doi.org/10.1002/ecj.12067
Publication status	Published - 2018 Jun

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

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10.1002/ecj.12067

Cite this

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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",

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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

Y1 - 2018/6

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

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

Abstract

Keywords

ASJC Scopus subject areas

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