• DocumentCode
    2399955
  • Title

    Extreme value analysis of leakage current envelope of polluted insulators

  • Author

    Karady, George G. ; Amarh, Felix

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2531
  • Abstract
    Extreme value theory (EVT) deals with extremal behavior at the tails of distributions of random variables (maxima and minima). In this paper the results of applying some basic ideas associated with EVT to the statistical analysis of the leakage current peak magnitude (envelope) are presented. The measurement and analysis of leakage current for condition-based monitoring of polluted insulators is well documented. Research has established that, insulator surface arcing causes significant variations in both the magnitude and shape of the leakage current of polluted insulators and several techniques exist for analysis. A technique is presented here which employs EVT to discriminate and characterize the largest and rarest peaks (which occur with highest severity); namely the characteristic largest value and the extreme value risk function
  • Keywords
    arcs (electric); condition monitoring; electric current measurement; insulator contamination; leakage currents; statistical analysis; surface discharges; condition-based monitoring; extremal behavior; extreme value analysis; extreme value risk function; insulator surface arcing; leakage current envelope; leakage current magnitude; leakage current measurement; leakage current peak magnitude; leakage current shape; polluted insulators; random variables distributions; statistical analysis; Condition monitoring; Current measurement; Insulation; Leakage current; Pollution measurement; Probability distribution; Random variables; Shape; Statistical analysis; Surface contamination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2000. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-6420-1
  • Type

    conf

  • DOI
    10.1109/PESS.2000.867388
  • Filename
    867388