• DocumentCode
    1544267
  • Title

    Knowledge engineering tool for training power-substation operators

  • Author

    Lambert-Torres, G. ; Ribeiro, G.M. ; Costa, C.I.A. ; Silva, A. P Alves da ; Quintana, V.H.

  • Author_Institution
    Escola Federal de Engenharia de Itajuba, Brazil
  • Volume
    12
  • Issue
    2
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    694
  • Lastpage
    699
  • Abstract
    Artificial intelligence techniques have been applied to create systems that can give answers for different situations and assistance during the substation switching operation. These techniques have also been used for training purposes. This paper presents a computational package for training power substation operators in the control and corrective actions using expert system techniques. Illustrative examples are presented using a 138 kV CEMIG substation
  • Keywords
    computer aided instruction; computer based training; control engineering education; expert systems; power engineering education; power system control; switching substations; 138 kV; CAI; artificial intelligence techniques; computational package; expert system techniques; knowledge engineering tool; power substation operator training; substation switching; Engines; Expert systems; Knowledge engineering; Mice; Microcomputers; Natural languages; Processor scheduling; Spatial databases; Substations; Testing;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.584348
  • Filename
    584348