• DocumentCode
    1393758
  • Title

    Efficient feature vector extraction for automatic classification of power quality disturbances

  • Author

    Lee, C.H. ; Nam, S.W.

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    34
  • Issue
    11
  • fYear
    1998
  • fDate
    5/28/1998 12:00:00 AM
  • Firstpage
    1059
  • Lastpage
    1061
  • Abstract
    A new feature vector extraction method is presented for the automatic classification of power quality disturbances, which utilises FFT, DWT (discrete wavelet transform), and Fisher´s criterion. This approach leads to a considerable reduction in the computational burden associated with disturbance classification
  • Keywords
    electrical faults; fast Fourier transforms; feature extraction; power system stability; wavelet transforms; DWT; FFT; Fisher´s criterion; automatic classification; computational burden; discrete wavelet transform; disturbance classification; feature vector extraction; power quality disturbances;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19980809
  • Filename
    683792
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1393758