• DocumentCode
    3045809
  • Title

    The classification and recognition of power quality disturbance based on S transform

  • Author

    Rui, Zhang ; Tao, Zhang ; Hongjiao, Yao ; Sheng, Liu

  • Author_Institution
    Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    663
  • Lastpage
    667
  • Abstract
    For the classification and recognition of power quality disturbances, a method based on principle of maximum information entropy is proposed in this paper. The corn of it is that, using S-transform to establish standard mode time-frequency matrix of various disturbances and obtaining information entropy of standard disturbances by probability density distribution of matrix amplitude. The correct classification has been realized by approaching degree of disturbance signal´s information entropy with the standard disturbances´ entropy. The simulation results show that the approach has better anti interference performance and in the condition of low SNR, classification results are also acceptable.
  • Keywords
    entropy; power supply quality; probability; signal classification; S-transform; antiinterference performance; disturbance signal; maximum information entropy; power quality disturbance; probability density distribution; standard mode time frequency matrix; Entropy; Information entropy; Power quality; Standards; Time frequency analysis; Transforms; Voltage fluctuations; S transform; feature extraction; information entropy; power quality disturbances;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273380
  • Filename
    6273380