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

Yang, L. and Judd, M.D. (2003) Recognising multiple partial discharge sources in power transformers by wavelet analysis of UHF signals. IEE Proceedings Science Measurement and Technology, 150 (3). pp. 119-127. ISSN 1350-2344

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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.

Item type: Article
ID code: 3484
Keywords: multiple partial discharge sources, power transformer, energy distribution, similarity function, insulation diagnosis, power systems, wireless, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 21 Jun 2007
    Last modified: 04 Sep 2014 11:48
    URI: http://strathprints.strath.ac.uk/id/eprint/3484

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