• DocumentCode
    3285275
  • Title

    Assessment of Surface Contamination of High Voltage Insulator Based on Evidence Theory

  • Author

    Yandong, Hou ; Zhiguo, Chen ; Chenglin, Wen

  • Author_Institution
    Dept. of Electr. Autom., Shanghai Maritime Univ., Shanghai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    To overcome the bad performance of surface contamination assessment for the current high voltage insulator, which induced by a lot of uncertainties existing in measurement information and the thing between measurement and assessment result, a novel assessment strategy is proposed based on D-S evidence theory in this paper. Firstly, the D-S reasoning model is established to assess contamination extent on the basis of information or evidence. Secondly, the effective representation for uncertainties is solved by processing obscurely the corresponding measurement information. Afterwards, the uncertain reasoning for assessment result is finished based on fuzzified uncertain information by the proposed novel algorithm for the insulator contamination assessment. Finally, computer simulation example is illustrated to prove the validity of the proposed novel algorithm.
  • Keywords
    fuzzy set theory; insulator contamination; surface contamination; D-S evidence theory; fuzzified uncertain information; high voltage insulator; insulator contamination assessment; measurement information; surface contamination; surface contamination assessment; Application software; Current measurement; Information technology; Insulation; Leakage current; Pollution measurement; Surface contamination; Surface discharges; Uncertainty; Voltage; Assessment of surface contamination; Evidence theory; High voltage insulator; Uncertainty; fuzzy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.502
  • Filename
    5232091