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

Hirotaka Torii, Yuji Hayase, Keisuke Yamashiro, Satoshi Matsumoto

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Issue number6
Publication statusPublished - 2018 Jun


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

ASJC Scopus subject areas

  • Signal Processing
  • General Physics and Astronomy
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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