Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction

I. Shim; J.J. Soraghan; W.H. Siew

doi:10.1109/57.901611

Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction

I. Shim, J.J. Soraghan, W.H. Siew

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

106 Citations (Scopus)

Abstract

The paper shows that open-loop noise reduction techniques can be effective in separating partial discharge (PD) signals from noise. Wavelet-based denoising through the use of thresholding of wavelet coefficients provides near optimal noise reduction for many classes of signals including PD signals in noise. The effectiveness of wavelet transform-based noise reduction depends on selection of an appropriate wavelet basis function as well as on careful selection of threshold function and levels.

Original language	English
Pages (from-to)	6-13
Number of pages	7
Journal	IEEE Electrical Insulation Magazine
Volume	17
Issue number	1
DOIs	https://doi.org/10.1109/57.901611
Publication status	Published - Jan 2001

Keywords

digital signal processing
open-loop noise reduction
partial discharge detection
wavelet transform
signal processing

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10.1109/57.901611

http://dx.doi.org/10.1109/57.901611

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abstract = "The paper shows that open-loop noise reduction techniques can be effective in separating partial discharge (PD) signals from noise. Wavelet-based denoising through the use of thresholding of wavelet coefficients provides near optimal noise reduction for many classes of signals including PD signals in noise. The effectiveness of wavelet transform-based noise reduction depends on selection of an appropriate wavelet basis function as well as on careful selection of threshold function and levels.",

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