NDLI: Study of wavelet-based threshold de-noising for power quality signal

Content Provider	IEEE Xplore Digital Library
Author	Lin Lin Nantian Huang Wenhuan Huang
Copyright Year	2009
Description	Author affiliation: College of Chemical and Materials Engineering, Jilin Institute of Chemical Technology, China (Wenhuan Huang) \|\| Department of Electrical Engineering, Harbin Institute of Technology, China (Nantian Huang) \|\| College of Information and Control Engineering, Jilin Institute of Chemical Technology, China (Lin Lin)
Abstract	Signal denoising is an important problem in the field of power quality (PQ) diagnosis of power system. Because the wavelet coefficients of noises are trending towards zero rapidly follow the scale increasing, the denoising methods based on wavelet transform have been widely applied. Threshold denoising method based on wavelet transform is an efficient method to reduce the white noise in the digital signal. There are two key problems need to be solved in practice. One is the optimization of the threshold; another is the determination of the decomposition order. This paper overviewed the theory of basis wavelet-based threshold denoising method and some kind improved soft-threshold theory, summarized their applications in the area of power quality signal denoising. All of results show wavelet-based threshold denoising method has great potential for PQ signals denoising. The analysis direction and emphasis of studying about the power quality (PQ) signal de-noising also put forward.
Starting Page	231
Ending Page	234
File Size	579942
Page Count	4
File Format	PDF
ISBN	9781424446995
DOI	10.1109/ICTM.2009.5412954
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-05
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Wavelet Noise reduction Power quality Power system control Wavelet analysis Educational institutions Discrete wavelet transforms Signal denoising Wavelet threshold Signal analysis Chemical technology
Content Type	Text
Resource Type	Article

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