• DocumentCode
    1418906
  • Title

    Discussion on "Power quality disturbance waveform recognition using wavelet-based neural classifier. 2. Application" [Closure to discussion]

  • Author

    Negnevitsky, Michael ; Faybisovich, V.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tasmania Univ., Hobart, Tas., Australia
  • Volume
    15
  • Issue
    4
  • fYear
    2000
  • Firstpage
    1354
  • Lastpage
    1355
  • Abstract
    M. Negnevitsky and V. Faybisovich comment separately on the paper by S. Santoso et al. (see ibid., vol.15, no.1, p.229-35, 2000). Negnevitsky asks questions regarding the wavelet based neural classifier. Faybisovich asks questions regarding the type of wavelet chosen and the learning scheme. The original authors reply to the comments.
  • Keywords
    neural nets; pattern recognition; power supply quality; power system analysis computing; wavelet transforms; learning scheme; power quality disturbance waveform recognition; wavelet-based neural classifier; Bayesian methods; Neural networks; Pattern recognition; Power industry; Power quality; Power supplies; Power system harmonics; Power system transients; Training data; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.891584
  • Filename
    891584