Title :
Pattern recognition of free metallic particle motion modes in GIS
Author :
Leijon, M.A.S. ; Vlastós, A.E.
Author_Institution :
ABB Corp. Res., Vasteras, Sweden
Abstract :
The dominant bounce frequency of a metal particle has been proposed as a means of studying its motion. Measurements of the acoustic emission due to the particle motion in a SF/sub 6/ gas-insulated system are reported. Analysis of the data shows that there are two types of particles. For one type the bounce frequency increased with increasing voltage, whereas for the other type it decreases. Aluminium particles yield higher acoustic amplitudes than copper particles, and there is a relationship between the maximum amplitude and the mass of the particle.<>
Keywords :
acoustic emission testing; gaseous insulation; insulation testing; pattern recognition; sulphur compounds; Al particles; Cu particles; SF/sub 6/; acoustic amplitudes; acoustic emission; dominant bounce frequency; free metallic particle motion modes; gaseous insulation; particle mass; pattern recognition; Acoustic emission; Acoustic measurements; Aluminum; Data analysis; Frequency; Geographic Information Systems; Motion measurement; Particle measurements; Pattern recognition; Voltage;
Conference_Titel :
Electrical Insulation, 1988., Conference Record of the 1988 IEEE International Symposium on
Conference_Location :
Cambridge, MA, USA
DOI :
10.1109/ELINSL.1988.13883
