700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Research Article Open Access
Wavelet transform can be applied with the Fourier transform to analyse a signal. This transform gives the signal characteristics in time or in frequency domain. But they donÃ¢ÂÂt give the combination of both. Wavelet Transform splits the signal energy in time-frequency domain. In this paper, In this a new approach was presented in order to recognize and distinguish fault signal from inrush current. With this kind of analysis, these two currents can be separated simply since the distribution of energy in time and frequency domain for inrush and fault currents is very different. The results shows that DCT –DWT splits differential current into small wavelets. This is done by filters in DWT. Various wavelet filters has been tried for all types of faults. It has been concluded that db6 wavelet shows best result for fault detection.
Discrete Cosine Transform, Discrete Wavelet Transform, Inrush Current, db6 wavelet, Aerospace Engineering,Applied Electronics,Applied Sciences,Biochemistry,Biogenetic Engineering.