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
Link To Document :
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