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X. X. Zhou, C. Zhou, and I. J. Kemp, “An improved methodology for application of wavelet transform to partial discharge measurement denoising,” IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 12, No. 3, June 2005; K. Elissa, “Title of paper if known,” unpublished.

has been cited by the following article:

• TITLE: Partial Discharge Source Classification and De-Noising in Rotating Machines Using Discrete Wavelet Transform and Directional Coupling Capacitor

  AUTHORS: Mohammad Amin Kashiha, Diman Zad Tootaghaj, Dolat Jamshidi

  KEYWORDS: Partial Discharge, Discrete Wavelet Transform, Time-Of-Arrival, Rotating Machines, De-Noising, Coupling Capacitor

  JOURNAL NAME: Journal of Electromagnetic Analysis and Applications, Vol.1 No.2, June 24, 2009

  ABSTRACT: This paper introduces a new method to separate PD1 from other disturbing signals present on the high voltage genera-tors and motors. The method is based on combination of a pattern classifier, the Discrete Wavelet Transform (DWT), to de-noise PD and Time-Of-Arrival method to separate PD sources. Furthermore, it will be shown that it can recognize PD sources including rotating machine’s internal and external discharge pulses (e.g. on the bus bar).