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Abstract
In this paper a novel method using to identify small fault current results from winding turn-to-turn short circuit in power transformer inrush current. Inrush currents in power transformers are non-sinusoidal, high magnitude currents generated due to flux saturation in the core during energization. This paper describes a decision method for discrimination between internal faults and inrush currents in power transformers using the DAUBECHIES (DB6) wavelet transform based feature extraction technique & Coif4transform technique. It is shown that the features extracted by the wavelet transform have a more distinctive property than those extracted by Coif4transform due to the good time and frequency localization characteristics of the wavelet transform.