NDLI: Selection of the optimal wavelet bases for wavelet de-noising of partial discharge signal

Content Provider	IEEE Xplore Digital Library
Author	Du ZhaoHeng Liu ShangHe Wang Lei
Copyright Year	2010
Description	Author affiliation: Electrostatic and Electromagnetic Protection Research Institute, Mechanical Engineering College, Shijiazhuang 050003, China (Du ZhaoHeng; Liu ShangHe; Wang Lei)
Abstract	Based on analyzing the influence of wavelet bases selection on the quality of wavelet de-noising, this paper presents a novel method for selecting the best wavelet bases for signal de-noising in partial discharge signal (PDS) processing. The correlation coefficient as well as the signal-to-noise ratio is used for evaluating the optimal wavelet base at present. These two indexes, statistics of meaning, can not reveal the performance of wavelet de-noising comprehensively. In this paper, the concept of information loss assessing coefficient is proposed on the foundation of some contents of wavelet threshold de-noising for the first time, and it is more suited to further analyzing the quality of partial discharge signal. The method is applied during the numerical simulating signals and corona discharge acquisition. From the results it shows that the de-noising procedure can be further refined in selecting the optimal wavelet bases.
File Size	468813
File Format	PDF
ISBN	9781424468928
e-ISBN	9781424468935
DOI	10.1109/ICSPS.2010.5555675
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Damping Partial discharges Correlation Noise reduction wavelet de-noising optima wavelet transforms Wavelet analysis the best wavelet bases partial discharges Signal to noise ratio
Content Type	Text
Resource Type	Article

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