• DocumentCode
    483754
  • Title

    An Improved Support Vector Machine Method for Harmonic and Inter-harmonic Detecting

  • Author

    Li, Ma ; Kaipei, Liu ; Xiao, Lei

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    14-16 Aug. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on the linear regressive model of support vector machines, iterative re-weighted least squares of the support vector machines for signal spectral analysis is introduced by virtue of abstract expressions of cost functions, and the uniform mathematical analytical expression of support vector machine for solving the problem of signal spectral analysis is obtained. And a new method is presented by changing resolution, namely defining the range of spectrum by taking advantage of wide range with rough resolution at first, and then using narrow range with high resolution. The simulation has showed that this method solves the problem of large calculation and slow calculating speed
  • Keywords
    harmonics; iterative methods; least mean squares methods; spectral analysis; support vector machines; cost functions; harmonic detection; iterative re-weighted least squares; linear regressive model; signal spectral analysis; support vector machine; Cost function; Discrete Fourier transforms; Least squares methods; Power system harmonics; Power system modeling; Sampling methods; Signal resolution; Spectral analysis; Statistical learning; Support vector machines; Discrete Fourier Transform; iterative re-weighted least squares; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International
  • Conference_Location
    Shanghai
  • Print_ISBN
    1-4244-0448-7
  • Type

    conf

  • DOI
    10.1109/IPEMC.2006.4777978
  • Filename
    4777978