• DocumentCode
    1876112
  • Title

    Evaluation of sags on RGE electric system

  • Author

    Dias, G.A.D. ; Bittencourt, B.G. ; Correa, S.M. ; Sonalio, F.V. ; Silva, L. C F da ; Pereira, D.L. ; Koch, V.E.

  • Author_Institution
    PUCRS, Rio Grande, Brazil
  • Volume
    2
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Firstpage
    409
  • Abstract
    The aim of this paper is to show the development of an automatic methodology of large data mass analysis based on artificial intelligence elements, which allows the detection of faults places, probable causes and also the data statistic proceedings obtained. With the knowledge of these data and the topologies, equipment´s characteristics and other parameters, besides a knowledge base about the subject, the causes and responsible locations of these kinds of disturbances are examined.
  • Keywords
    artificial intelligence; database management systems; knowledge based systems; power supply quality; power system analysis computing; power systems; RGE electric system; artificial intelligence element; data mass analysis; equipment characteristics; sags evaluation methodology; specialist system; Artificial intelligence; Consumer electronics; Data analysis; Electric variables measurement; Fault detection; Manufacturing; Power measurement; Power quality; Statistical analysis; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power, 2002. 10th International Conference on
  • Print_ISBN
    0-7803-7671-4
  • Type

    conf

  • DOI
    10.1109/ICHQP.2002.1221469
  • Filename
    1221469