• DocumentCode
    423390
  • Title

    Damage assessment and soft reliability evaluation of existing transmission lines

  • Author

    Hathout, I.

  • Author_Institution
    Hydro One Networks Inc., Toronto, Ont., Canada
  • fYear
    2004
  • fDate
    16-16 Sept. 2004
  • Firstpage
    980
  • Lastpage
    986
  • Abstract
    This paper introduces a methodology for reliability assessment of existing-transmission structures and lines in the presence of structural deterioration. A model for damage assessment of existing-transmission structures is proposed. The model uses fuzzy weighted averages formula (FWA) and utilizes a fuzzy computational technique called resolution identity of fuzzy sets. The damage-state of the structure or line is a fuzzy function that can be used to fuzzily or "soften" the probability of failure of the existing transmission-structure or line. The model for probability of failure is derived as a function of the cumulative distribution of the standardized safety margin and the damage-state of the structure or line. The probability of failure is then expressed in terms of the first four moments of the safety margin probability distribution function. The proposed method produces a realistic reliability assessment of existing structures or line. A numerical example is given.
  • Keywords
    fuzzy set theory; power system analysis computing; power transmission lines; power transmission reliability; statistical distributions; cumulative distribution; damage assessment; failure probability; fuzzy computational technique; fuzzy logic; fuzzy set resolution identity; fuzzy weighted averages formula; probability distribution function; soft reliability evaluation; structural deterioration; transmission line reliability; Corrosion; Fuzzy logic; Fuzzy sets; Inspection; Poles and towers; Power transmission lines; Safety; Steel; Transmission lines; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Conference_Location
    Ames, IA
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378820