Wavelet-based compression of power disturbances using the minimum description length criterion
Effrina Yanti Hamid, Redy Mardiana, Zen‐Ichiro Kawasaki · 2001
This paper introduces ai compression technique for power disturbance data via discrete wavelet transform (DWT)and wavelet packet transform, (WPT'). The data compression leads to a potential application for remote power protection and power quality monitoring. The compression technique is performed through signal decomposition up to a certain level, thresholding of wavelet coefficients, and signal reconstruction.The choice of which wavelet to use for the compression i~jof critical importance, because the wavelet affects reconstructed signal quality and the design of the system as a whole.The Minimum Description Length (MDL) criterion is proposed for the selection of an appropriate wavelet filter, This criterion permits to select not only the suitable wavelet filter but also the best number of wavelet retained cclefficients for signal reconstruction.The experimental study has been carried out for a single-phase to ground fault event, and the data compression results of using the suitable wavelet filter show that the compression ratios are less than 1:1.70 and are reduced to more than a half of that value by implementing an additional lossless coding, Index Terms -Data compression, power disturbances, wave lets, wavelet packets.