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 | |
| Publication status | Published - Jan 2001 |
Keywords
- digital signal processing
- open-loop noise reduction
- partial discharge detection
- wavelet transform
- signal processing
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