| 2014, 10 October |
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DOI: 10.14489/td.2014.010.pp.044-051
Monogarov O. I. Abstract. In the article the mathematical method for selection of partial discharges from noisy signal is considered. The method consists in rep-resentation of registered and filtered signal as a field of instantaneous velocities. Mathematical methods (such as Fourier transform, short-time Fourier transform, wavelet transform) for selection of partial discharges were classified in this work and it was concluded, that tradi-tional mathematical methods for their analysis are inefficient, because partial discharges are non-stationary signals. The result of this re-search was a development of a new method for identification and recognition such signals. In addition, it was showed an application of sug-gested method for recognition partial discharges and corona discharges. Keywords: classification, mathematical method, selection of partial discharges, field of instantaneous velocities, diagnos-tics.
O. I. Monogarov
1. Gribunin V. G. Introduction to wavelet transform. St. Petersburg: AVTEKS. Available at: http://www.kinetics.nsc.ru/chichinin/books/math/signal_analysis/polikarwavelets.pdf.
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