Title :
Harmonic and Inter-harmonic Detecting Based on Support Vector Machine
Author :
Ma, Li ; Liu, Kaipei ; Li, Lanfang
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ.
Abstract :
Based on the linear regressive model of the support vector machine, the paper introduces iterative re-weighted least squares of the support vector machine for signal spectral analysis 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. It also discusses the effects of different cost functions and their convergent speed
Keywords :
convergence of numerical methods; iterative methods; learning (artificial intelligence); least squares approximations; power engineering computing; power system harmonics; regression analysis; spectral analysis; support vector machines; abstract expression; cost functions; interharmonic detection; iterative reweighted least squares; linear regressive model; machine learning; mathematical analytical expression; power system; signal spectral analysis; speed convergence; support vector machine; Convergence; Cost function; Least squares methods; Linear regression; Power system harmonics; Risk management; Sampling methods; Spectral analysis; Statistical learning; Support vector machines; Cost coefficients; discrete Fourier transform; iterative re-weighted least squares; support vector machine;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1546850
