• DocumentCode
    2363797
  • Title

    Damage assessment of existing transmission towers using fuzzy weighted averages

  • Author

    Hathout, Ibrahim

  • Author_Institution
    Ontario Hydro, Toronto, Ont., Canada
  • fYear
    1993
  • fDate
    25-28 Apr 1993
  • Firstpage
    573
  • Lastpage
    580
  • Abstract
    The author introduces a transmission structures damage assessment model that can be used for the fuzzy inferences of an expert system. The model is based on a fuzzy computational technique called resolution identity of fuzzy sets. In this technique a fuzzy set is decomposed into non-fuzzy level-sets by slicing the fuzzy set at different α-levels or membership levels. In the proposed model a transmission structure is broken up into six major components ranked by their importance to the overall stability of the structure. The proposed model utilizes fuzzy weighted average formulas to combine the fuzzy condition ratings of the structural components. Using the proposed model it is possible to systematically incorporate the inherent human bias and subjective judgment that prevail during visual inspection of existing transmission structures. An illustrative example is presented
  • Keywords
    civil engineering computing; construction industry; diagnostic expert systems; distribution networks; fuzzy set theory; statistical analysis; expert system; fuzzy computational technique; fuzzy condition ratings; fuzzy inferences; fuzzy set; fuzzy weighted average formulas; inherent human bias; membership levels; resolution identity; structural components; subjective judgment; transmission structures damage assessment model; visual inspection; Expert systems; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Hybrid intelligent systems; Inspection; Poles and towers; Safety; Transmission line theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-3850-8
  • Type

    conf

  • DOI
    10.1109/ISUMA.1993.366712
  • Filename
    366712