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

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

638

Lastpage

641

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMTMA.2010.409

Filename

5458823