• DocumentCode
    328369
  • Title

    Pattern classification of waveforms using LVQ1

  • Author

    Fujita, Hideki ; Yamamoto, Makoto ; Kobayashi, Shigeki ; Youheng, Xu

  • Author_Institution
    Chubu Electric Power Co. Inc., Nagoya, Japan
  • Volume
    1
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    951
  • Abstract
    This paper describes an application of the artificial neural network (ANN) technique using the learning vector quantization 1 (LVQ1) method, as a preprocessing for analyzing power system load characteristics. The clearer load characteristics are, the more accurate the power system analysis is. However, it is an important problem that it takes a long period of time to determine whether the measured data in power system are suitable for the analysis or not. Therefore the authors have developed a pattern classification technique for solving this problem using the LVQ1 method. Brand-new equipment using this technique has been manufactured and is in test at a substation of the Chubu Electric Power Co., Inc, Japan.
  • Keywords
    digital simulation; learning (artificial intelligence); neural nets; pattern classification; power system analysis computing; substations; vector quantisation; LVQ1 method; artificial neural network; computer simulation; learning vector quantization; load characteristics analysis; power system; substation; Artificial neural networks; Manufacturing; Pattern classification; Power measurement; Power system analysis computing; Power system measurements; Substations; Testing; Time measurement; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714068
  • Filename
    714068