• DocumentCode
    794652
  • Title

    Classification of power disturbances using feature extraction in time-frequency plane

  • Author

    Lee, Y. ; Won, Y.J. ; Jeong, J.-M. ; Nam, S.W.

  • Author_Institution
    Div. of Electr. & Comput. Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    38
  • Issue
    15
  • fYear
    2002
  • fDate
    7/18/2002 12:00:00 AM
  • Firstpage
    833
  • Lastpage
    835
  • Abstract
    An efficient feature extraction in the time-frequency plane is proposed for automatic classification of power disturbances. For that purpose, singular value decomposition and principal component analysis are utilised. Finally, the performance of the proposed approach is tested using a maximum likelihood predictor classifier
  • Keywords
    feature extraction; maximum likelihood estimation; power system faults; prediction theory; signal classification; singular value decomposition; time-frequency analysis; automatic classification; feature extraction; maximum likelihood predictor classifier; power disturbances classification; power quality; principal component analysis; singular value decomposition; time-frequency plane;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20020562
  • Filename
    1021873
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=794652