Wavelet analysis used in UHF partial discharge detection in GIS [gas insulated substations]

Author

Li, Z.M. ; Feng, Y.P. ; Chen, J.Q. ; Zheng, X.G.

Author_Institution

Xi´´an Jiaotong Univ., China

Volume

1

fYear

1998

fDate

18-21 Aug 1998

Firstpage

163

Abstract

One of the most important subjects in monitoring GIS is PD detection. The issue is that the PD signal is weak and sensitive to external noise. In this paper, the experiments of detection PD in GIS using UHF technique is described. The results show that UHF method is effective in detecting PD in GIS and avoiding the disturbance of corona. Nevertheless very large corona, fluorescent tube or radio frequency noise nearby can still disturb the measurement. A method of signal processing by software is presented in this paper. Through the procedure of signal wavelet transform, signal noise extraction and signal reconstruction the signal is analyzed to determine the magnitude of PD in GIS and avoid false alarm

Keywords

corona; gas insulated substations; insulation testing; monitoring; partial discharges; signal processing; wavelet transforms; GIS; PD signal; UHF partial discharge detection; corona disturbance; gas insulated substations; signal noise extraction; signal processing; signal reconstruction; signal wavelet transform; wavelet analysis; Corona; Fluorescence; Frequency measurement; Geographic Information Systems; Monitoring; Noise measurement; Partial discharges; Radio frequency; UHF measurements; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4754-4

Type

conf

DOI

10.1109/ICPST.1998.728945

Filename

728945