Title :
Application of Minimum Mutual Information Method in Voltage Flicker Analysis
Author :
Guo, Tiandong ; Wang, Qi ; Song, Kai
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
A method of voltage flicker detection using independent component analysis (ICA) is proposed in this paper. Firstly, envelope curve is detected by square detector. Secondly, harmonious signals which form voltage flicker are separated by using minimum mutual information method and fixed Fast-ICA algorithm. Finally, each harmonic amplitude and frequency are calculated. Simulation results show that this method can accurately separate the envelope curve from signals containing Gaussian noises.
Keywords :
Gaussian noise; blind source separation; independent component analysis; power supply quality; signal detection; Gaussian noise; blind source separation; envelope curve; harmonious signals; independent component analysis; minimum mutual information method; square detector; voltage flicker analysis; voltage flicker detection; Blind source separation; Envelope detectors; Frequency; Independent component analysis; Information analysis; Mutual information; Signal processing; Signal processing algorithms; Vectors; Voltage fluctuations; blind source separation; independent component analysis; voltage flicker;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.409
