Title :
Study of harmonic detection algorithm based on natural gradient
Author :
Mingliang Guo ; Jian He ; Songlin Guo
Author_Institution :
Coll. of Electr. & Inf. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
Abstract :
Natural gradient algorithm is used a blind source separation algorithm, the paper, the natural gradient algorithm is applied to the detection of power harmonic signals. Simulation results show that the effect of the method for the detection of power harmonic well, and compared with the Fast-ICA blind source separation algorithm to verify the effectiveness of the natural gradient algorithm with fast.
Keywords :
blind source separation; gradient methods; power system harmonics; signal detection; blind source separation algorithm; electronic technology; natural gradient algorithm; power harmonic signal detection algorithm; Harmonic analysis; Power system harmonics; Wavelet analysis; BSS; electric harmonic; natural gradient;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758194
