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Analysis of partial discharge by eavelet-hilbert transform

Sarikhani, A ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1002/etep.290
  3. Publisher: 2009
  4. Abstract:
  5. Time-frequency and time-scale transforms are one of the powerful mathematical methods for feature extraction of non-stationary signals such as partial discharge (PD) signals. Modified Fourier-based transforms and Wavelet transforms are well known among them. PD signals can be analyzed by these influential methods but normally with some serious limitations and inadequacies. This paper proposes a new approach based on Wavelet-Hilbert transform for the analysis of electrical PD signals. The mathematical model of a Wavelet-Hilbert transform is described. Contemplating of natural behavior of PD, that is, stochastic and non-stationary an artificial multi-source of PD is simulated in a Detail model of an HV power transformer winding. The PD signal is measured at the bushing terminal of the faulty model, and then it is analyzed. The analyzed PD signal by the proposed method shows great advantages over the Fourier based algorithms. Copyright © 2008 John Wiley & Sons, Ltd
  6. Keywords:
  7. Multi-resolution analysis (MRA) ; Partial discharge (PD) ; Power transformer ; Wavelet-hilbert transform(WHT) ; Fourier ; Fourier based algorithms ; Hilbert transform ; Mathematical method ; Multisources ; New approaches ; Nonstationary ; Nonstationary signals ; Partial discharge signal ; Time frequency ; Time-scales ; Asymptotic analysis ; Feature extraction ; Fourier transforms ; Partial discharges ; Power transformers ; Signal analysis ; Stochastic models ; Transformer substations ; Transformer windings ; Wavelet transforms ; Mathematical transformations
  8. Source: European Transactions on Electrical Power ; Volume 19, Issue 8 , 2009 , Pages 1140-1152 ; 1430144X (ISSN)
  9. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/etep.290