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.
|ジャーナル||Electronics and Communications in Japan|
|出版ステータス||Published - 2018 6月|
ASJC Scopus subject areas
- コンピュータ ネットワークおよび通信