Optimal sampling rate for wavelet-based denoising in PD measurement

X. Zhou*, C. Zhou, B. G. Stewart, A. Nesbitt

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

Extracting PD pulses from excessively noisy environment has been a crucial issue in PD on-line measurement DWT as a powerful mathematical tool has proven its effectiveness in PD measurement denoising. The paper presents a method on how to achieve an improved denoisng effect at an optimal sampling rate in DWT. It reveals the relationship between the sampling rate and the frequency band in wavelet analysis and contrasts the distribution of a PD signal and white noise along the decomposition levels. A set of 3 PD pulses produced by a narrow band detector immersed in white noise are processed at different sampling rates to verify the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)147-150
Number of pages4
JournalConference Record of IEEE International Symposium on Electrical Insulation
Publication statusPublished - 17 Jan 2005
Event2004 IEEE International Symposium on Electrical Insulation - Indianapolis, United States
Duration: 19 Sept 200422 Sept 2004

ASJC Scopus subject areas

  • Building and Construction
  • Electrical and Electronic Engineering

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