• DocumentCode
    3159840
  • Title

    The Study of SymlestN Wavelet-based Denoising Technology in the test system of transient power quality

  • Author

    Fan, Zheng ; Zheng, Xianfeng

  • Author_Institution
    Henan Mechnical & Electr. Eng. Coll., Xinxiang, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    6013
  • Lastpage
    6016
  • Abstract
    At first, discussed the necessity to reduce noise of the electric signals that be measured in the test system of transient power quality, then several kinds of methods of noise reduction be compared in this paper, and finally the wavelet threshold denoising method be selected based on the compared results and the non stationary characteristic of power quality. Then the wavelet base function be constructed, and as key point, the method to select the threshold be analysed at the same time of the rational wavelet decomposition level be determined. At last, to simulate the effect of wavelet threshold denoising method by matlab; as the result, the denoising problem be solved effective through the method above, and it would never generated the distortion that caused by the signal singularity be effected.
  • Keywords
    power supply quality; power system transients; signal denoising; wavelet transforms; Matlab; SymlestN wavelet-based denoising technology; electric signals; noise reduction; signal singularity; test system; transient power quality; Automation; Noise reduction; Power quality; Transient analysis; Wavelet analysis; Wavelet transforms; Wavelet; base function; decomposition level; signal singularity; threshold value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6009863
  • Filename
    6009863