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

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