• DocumentCode
    2326540
  • Title

    Research on case representation of case-based reasoning approaches for electric power engineering design

  • Author

    Lifeng, Liu ; Zhe, Zhang ; Zhongde, Gao ; Qixun, Yang ; Baizhen, Liu

  • Author_Institution
    North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    1998
  • fDate
    18-21 Aug 1998
  • Firstpage
    968
  • Abstract
    Electric power engineering design tasks are ill-defined, with results that considerable design knowledge cannot be described in forms of rule, logic and mathematical models, even data. Therefore it is very difficult to accomplish entire tasks by applying existing AI techniques. Fortunately, case-based reasoning is a promising way to solve these problems. In this paper, the authors present a case representation approach for electric power engineering design knowledge, which can describe data, tables, even drawings. So CBR could represent graphic design knowledge conveniently
  • Keywords
    case-based reasoning; design engineering; knowledge representation; power system CAD; case representation; case-based reasoning approaches; data; drawings; electric power engineering design; graphic design knowledge representation; intelligent CAD; power systems; tables; Artificial intelligence; Computer aided software engineering; Data engineering; Design automation; Design engineering; Graphics; Knowledge engineering; Logic design; Mathematical model; Power engineering and energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4754-4
  • Type

    conf

  • DOI
    10.1109/ICPST.1998.729228
  • Filename
    729228