Zuo Wen

Shanghai Jiao Tong University, Shanghai, Shanghai Shi, China

Are you Zuo Wen?

Claim your profile

Publications (2)0 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: 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.
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on; 02/2002
  • [Show abstract] [Hide abstract]
    ABSTRACT: Wavelet-domain hidden Markov models (HMMs) have recently been introduced and applied to signal and image processing. The advantage of the method is that the HMMs measure the dependency between the wavelet coefficients and have no free parameters in denoising. In this paper, the HMMs method is applied in reducing partial discharge (PD) white noise. The effectiveness of the method is demonstrated by using numerical simulations and real-world data of neutral point current of generator. Compared with the shrinkage method, the result shows that the HMMs method is better in enhancing signal-to-noise ratio and reserves more PD impulses.
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on; 02/2002