期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：7
页码：3115
出版社：S&S Publications
摘要：Wavelet transform can be applied with the Fourier transform to analyse a signal. This transform gives the signalcharacteristics in time or in frequency domain. But they don‟t give the combination of both. Wavelet Transform splits thesignal energy in time-frequency domain. In this paper, In this a new approach was presented in order to recognize anddistinguish fault signal from inrush current. With this kind of analysis, these two currents can be separated simply since thedistribution of energy in time and frequency domain for inrush and fault currents is very different. The results shows thatDCT –DWT splits differential current into small wavelets. This is done by filters in DWT. Various wavelet filters has beentried for all types of faults. It has been concluded that db6 wavelet shows best result for fault detection.
