• DocumentCode
    2465129
  • 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
  • fYear
    1988
  • fDate
    5-8 June 1988
  • Firstpage
    120
  • Lastpage
    123
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 1988., Conference Record of the 1988 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA, USA
  • ISSN
    1089-084X
  • Type

    conf

  • DOI
    10.1109/ELINSL.1988.13883
  • Filename
    13883