• DocumentCode
    2797502
  • Title

    Recognition of discharge sources using statistical tools

  • Author

    Gulski, E. ; Kreuger, F.H.

  • Author_Institution
    High Voltage Lab., Delft Univ. of Technol., Netherlands
  • fYear
    1991
  • fDate
    8-12 Jul 1991
  • Firstpage
    39
  • Abstract
    Making use of a computer-aided design analyzer, a combination of several statistical operators was studied to discriminate between different discharge sources. Analysis of discharges in gas, liquid, and solid materials revealed that several parameters are characteristic for different discharges. These results offer a good discrimination between different types of defects, and they may be used for developing a diagnostic system of actual high-voltage constructions
  • Keywords
    computer aided analysis; discharges (electric); machine insulation; statistical analysis; computer-aided design analyzer; defects; diagnostic system; discharge sources; gas; high-voltage constructions; liquid; solid materials; statistical tools; Corona; Fault location; Insulation; Partial discharges; Pattern analysis; Petroleum; Shape; Surface discharges; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Properties and Applications of Dielectric Materials, 1991., Proceedings of the 3rd International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-87942-568-7
  • Type

    conf

  • DOI
    10.1109/ICPADM.1991.172349
  • Filename
    172349