A 2D representation for analysis and coding of power quality events

نویسندگان

  • Ömer Nezih Gerek
  • Dogan Gökhan Ece
چکیده

In this work, we demonstrate examples about uses of practical image processing techniques over a new interpretation of power quality event data. Power quality event data are 1D data obtained from a real life system with three-phase RL loads, induction motors and varying mechanical loads. First, the new 2D representation is presented. Next, 2D wavelet transform based analysis and compression methods are presented. 2D wavelet transform of the 2D representation enable us to clearly detect power quality events that perturbs the normal operation waveform. Furthermore, the transform coefficients are observed to be more suitable for compression than the conventional 1D wavelet based results that could be found in the literature. Simulations are presented.

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تاریخ انتشار 2003