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

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

Research output: Contribution to journal › Article

102 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.
LanguageEnglish
Pages6-13
Number of pages7
JournalIEEE Electrical Insulation Magazine
Volume17
Issue number1
DOIs
Publication statusPublished - Jan 2001

Fingerprint

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

Shim, I. ; Soraghan, J.J. ; Siew, W.H. / Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction. In: IEEE Electrical Insulation Magazine. 2001 ; Vol. 17, No. 1. pp. 6-13.
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Shim, I, Soraghan, JJ & Siew, WH 2001, 'Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction' IEEE Electrical Insulation Magazine, vol. 17, no. 1, pp. 6-13. https://doi.org/10.1109/57.901611

Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction. / Shim, I.; Soraghan, J.J.; Siew, W.H.

In: IEEE Electrical Insulation Magazine, Vol. 17, No. 1, 01.2001, p. 6-13.

Research output: Contribution to journal › Article

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Shim I, Soraghan JJ, Siew WH. Detection of PD utilising digital signal processing methods part 3: open-loop noise reduction. IEEE Electrical Insulation Magazine. 2001 Jan;17(1):6-13. https://doi.org/10.1109/57.901611

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