Title :
Recognition of electrical discharges in SF6 and atmospheric air by RFI measurements
Author :
Lehtio, A. ; Pakonen, P. ; Kannus, K. ; Lakervi, E.
Author_Institution :
Tampere Univ. of Technol., Finland
Abstract :
An RF spectrum analyzer equipped with suitable antennas proved to be a useful device in discharge type identification. Different kinds of corona and gap discharges in SF6 and atmospheric air can be identified by measuring the time domain representation of the discharges relative to the power frequency voltage wave with a spectrum analyzer. The diagnosis can be confirmed by measuring the spectrum of the interference. The sensitivity of a spectrum analyzer can be improved by using a wider measurement bandwidth. The results indicate that the harmfulness of the discharge can be evaluated by measuring the frequency spectrum and the time domain representation of the discharge. Different modes of corona discharge are identified, and the existence of streamer pulses is found to be a sign of a harmful discharge
Keywords :
corona; discharges (electric); gaseous insulation; spark gaps; spectral analysers; sulphur compounds; RF spectrum analyzer; RFI measurements; SF6; atmospheric air; corona; discharge type identification; electrical discharges; gap discharges; measurement bandwidth; power frequency voltage wave; streamer pulses; time domain representation; Antenna measurements; Atmospheric measurements; Atmospheric waves; Corona; Frequency measurement; Power measurement; Radio frequency; Radiofrequency identification; Spectral analysis; Time measurement;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 1992. Annual Report. Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0565-5
DOI :
10.1109/CEIDP.1992.283223
