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

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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.
LanguageEnglish
Pages6-13
Number of pages7
JournalIEEE Electrical Insulation Magazine
Volume17
Issue number1
DOIs
Publication statusPublished - Jan 2001

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Partial discharges
Noise abatement
Digital signal processing
Acoustic noise
Wavelet transforms

Keywords

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

Cite this

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title = "Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction",
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.",
keywords = "digital signal processing, open-loop noise reduction, partial discharge detection, wavelet transform, signal processing",
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