Recognising multiple partial discharge sources in power transformers by wavelet analysis of UHF signals

L. Yang, M.D. Judd

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Partial discharges (PD) in a transformer generate transient UHF signals that resonate within the tank. Where more than one source of PD or interference is present, the ability to separate incoming signals depending on their point of origin would enhance the diagnostic process. A wavelet-based method for recognising UHF signals from PD sources at different positions in the transformer tank, even when the signal is received at only one UHF sensor, is described. Time-frequency characteristics of the UHF PD signals are established using the wavelet transform, providing a means of mapping the energy distribution of the signal. A similarity function is then defined to provide a measure of the similarity between the various wavelet coefficient distributions. The procedure is demonstrated by means of laboratory experiments and application of the technique to data obtained from a transformer in the field.
LanguageEnglish
Pages119-127
Number of pages8
JournalIEE Proceedings Science Measurement and Technology
Volume150
Issue number3
DOIs
Publication statusPublished - 2003

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Wavelet analysis
Power transformers
Partial discharges
Wavelet transforms
Sensors
Experiments

Keywords

  • multiple partial discharge sources
  • power transformer
  • energy distribution
  • similarity function
  • insulation diagnosis
  • power systems
  • wireless

Cite this

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abstract = "Partial discharges (PD) in a transformer generate transient UHF signals that resonate within the tank. Where more than one source of PD or interference is present, the ability to separate incoming signals depending on their point of origin would enhance the diagnostic process. A wavelet-based method for recognising UHF signals from PD sources at different positions in the transformer tank, even when the signal is received at only one UHF sensor, is described. Time-frequency characteristics of the UHF PD signals are established using the wavelet transform, providing a means of mapping the energy distribution of the signal. A similarity function is then defined to provide a measure of the similarity between the various wavelet coefficient distributions. The procedure is demonstrated by means of laboratory experiments and application of the technique to data obtained from a transformer in the field.",
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Recognising multiple partial discharge sources in power transformers by wavelet analysis of UHF signals. / Yang, L.; Judd, M.D.

In: IEE Proceedings Science Measurement and Technology , Vol. 150, No. 3, 2003, p. 119-127.

Research output: Contribution to journalArticle

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