• DocumentCode
    3354309
  • Title

    Dam Gate Diagnosing Advisor-an expert system for steel structures

  • Author

    Terano, Takao ; Sinohara, Yasusi ; Matsui, Shouichi ; Nakamura, Hideharu

  • Author_Institution
    Central Res. Inst. of Electr. Power Ind., Tokyo, Japan
  • fYear
    1988
  • fDate
    25-27 May 1988
  • Firstpage
    129
  • Lastpage
    134
  • Abstract
    The Dam Gate Diagnosing Advisor (DGDA) is a frame-based expert system developed in the field of civil and structural engineering for diagnosing dam gates at hydro power stations. The function of DGDA is to diagnose the current status of each dam gate and to predict its remaining life term based on both structural engineering and empirical standpoints. To make the diagnoses reliable, the authors have developed an easy-to-use structural analysis program using the finite-element method and a flexible relational database consisting of questionnaire surveys, measurement data, and design information on each dam gate. Also developed is a method for handling data and knowledge uncertainty, which combines the analytic hierarchy process, a nonBayesian decision theory, with ordinary frame-/rule-based knowledge representation.<>
  • Keywords
    civil engineering computing; dams; expert systems; hydroelectric power stations; structural engineering computing; DGDA; Dam Gate Diagnosing Advisor; analytic hierarchy; civil engineering; dam gates; data handling; design information; finite-element method; flexible relational database; frame-/rule-based knowledge representation; frame-based expert system; hydro power stations; knowledge uncertainty; measurement data; nonBayesian decision theory; questionnaire surveys; remaining life term; steel structures; structural analysis program; structural engineering; Diagnostic expert systems; Earthquakes; Information analysis; Metals industry; Power generation; Power system reliability; Relational databases; Steel; Structural engineering; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
  • Conference_Location
    Hitachi City, Japan
  • Type

    conf

  • DOI
    10.1109/AIIA.1988.13282
  • Filename
    13282