Partial discharge denoising via lifting scheme

Denoising is a key technique in partial discharge detection and analysis. In this paper, a new wavelet construction method, named the lifting scheme, is applied to depress the white noise. A biorthogonal wavelets arc is designed via the lifting scheme which has adaptive characteristics (signal independence). Hard thresholding is used in signal denoising. Numerical experiments show that this algorithm has a better de-noising effect than other methods due to its better balance between noise removal and PD pulse attenuation.