2007•Telecommunications for Electric Power SystemRequires access

Study on the de-noising methods based on wavelet transformation and its application in electric power system

Lei Xu

Abstract

Transient signal analysis is the basis of fault detection and transient signal protection in electric power system.Wavelet transform provides a cogent math tool for transient signal analysis.Wavelet analysis has the characteristics of good localizing quality and multi-resolution response analysis at both time domain and frequency domain simultaneously,and can achieve satisfied result for signal de-noising.This paper mainly studies four common methods of de-noising of testing signal and realizes these algorithms by virtual instrument program software LabVIEW.Finally the paper compares the de-noising effect,SNR,RMS and calculating time of these methods and analyzes the results of de-noising when choosing different Wavelet.

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Key concepts: Wavelet, SIGNAL (programming language), Transient (computer programming), Wavelet transform, Transformation (genetics), Time domain, Electronic engineering, Computer science