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An optimal wavelet filtering method for noise suppression of PD measured signal and its location in power transformer winding

Naderi, M. S ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1109/ICDL.2005.1490078
  3. Publisher: 2005
  4. Abstract:
  5. In this paper a method for selecting optimal wavelet is introduced, which is implemented for evaluating electrical measured partial discharges on a 66 kV/25 MVA fully interleaved winding of a power transformer. Applying wavelet transform to a signal produces a wavelet detail coefficient distribution throughout the time-scale, which depends on the wavelet chosen. This method is based on the capability of the chosen wavelet for generating coefficients with maximal values. The basic idea of this method is described and applications to partial discharge studies are explored. The paper demonstrates that the wavelet based de-noising method proposed in the paper can be employed in extracting the PD pulses from the measured signal successfully to provide enhanced information and further infer the original site of the PD pulse through capacitive ratio method. © 2005 IEEE
  6. Keywords:
  7. De-noising method ; Noise suppression ; Electric transformers ; Filtration ; Partial discharges ; Signal processing ; Wavelet transforms ; Noise abatement
  8. Source: 2005 IEEE International Conference on Dielectric Liquids, ICDL 2005, Coimbra, 26 June 2005 through 1 July 2005 ; 2005 , Pages 269-272 ; 0780389549 (ISBN); 9780780389540 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/1490078