• DocumentCode
    3503900
  • Title

    Improved fast-ICA based harmonic detection algorithm

  • Author

    Guo Song-lin ; Wang Jing-yu

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
  • Volume
    02
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    1288
  • Lastpage
    1292
  • Abstract
    In order to increase the speed and accuracy of Fast-ICA algorithm on harmonic detection. The original Fast-ICA blind source separation algorithm had been improved so that iterations had been reduced; the convergence rate of the algorithm had been raised, as well as the mathematical justification and simulation study had been conducted. The study had showed that the algorithm average speed increased by 37% for the simple harmonic mixed signal and approximate the harmonic wave in the power grid signal detection, in sampling frequency for 7500 Hz, sampling points for 920 point. The algorithm reduce the iteration times and improve the algorithm convergence speed, accuracy has been improved greatly.
  • Keywords
    independent component analysis; power grids; power system harmonics; signal detection; algorithm average speed; algorithm convergence speed; blind source separation algorithm; fast-ICA algorithm; harmonic detection; harmonic mixed signal; harmonic wave; iteration times; power grid signal detection; BSS; Fast-ICA; electric harmonic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758195
  • Filename
    6758195