A Comparative Study of Wavelet Based De-Noising Signal Based on Transmission System

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Provided by: The International Journal of Research in Engineering Technology and Management (IJRETM)
Topic: Hardware
Format: PDF
Power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed for detecting types of transmission line faults. In this paper, a comparative study of wavelet based de-noising signal based on wavelet thresholding is proposed. Discrete Wavelet Transform (DWT) analysis of the transient disturbance caused as a result of occurrence some of faults is performed in the transmission system. With conventional methods the authors cannot find the location, whereas wavelet makes the location detection very easy. Certain faults like open, short may be detected using simple electronic circuitry, but the location of fault can be analyzed only with wavelet transform wavelet toolbox for use with Matlab for find out the location of the fault.
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