Generalized 1-D Gabor Transform Application to Power System Signal Analysis

Author

Ibrahim, Ayman E. ; Kawady, Tamer A. ; Darwish, Hatem A. ; Taalab, Abdel-Maksoud

Author_Institution

Ministry of Water Resources & Irrigation, Telemetry Project

Volume

1

fYear

2006

fDate

9-13 July 2006

Firstpage

624

Lastpage

629

Abstract

In this paper, the generalized 1-D Gabor transformation and possibility of application to power system signal analysis are presented. An artificial neural network based algorithm is employed to compute the Gabor coefficients for further decomposition of the power system signals. The time-frequency resolution analysis for sinusoidal, DC decaying, sudden change and non-integer harmonic signals is carried out. Contribution of this transform to power system applications is evaluated through various simulation test cases and scenarios. Recommendations for increasing the value of Gabor transform to protection area are outlined

Keywords

harmonic analysis; neural nets; power system analysis computing; time-frequency analysis; 1D Gabor transform application; artificial neural network based algorithm; noninteger harmonic signals; power system signal analysis; time-frequency resolution analysis; Artificial neural networks; Computer networks; Harmonic analysis; Power system analysis computing; Power system harmonics; Power system protection; Power system simulation; Signal analysis; Signal resolution; Time frequency analysis; 1-D Gabor Transform; Electromagnetic transients; Power system Protection; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295532

Filename

4078001