POWER QUALITY DISTURBANCE DATA-COMPRESSION USING WAVELET TRANSFORM METHODS

In this paper we present a wavelet compression technique for power qua lity disturbance data. The compression technique is performed through signal decomposition, thresholding of wavelet transform coefficients, and signal reconstruction. Threshold values are determined by weightin g the absolute maximum value at each scale. Wavelet transform coeffici ents whose values are below the threshold are discarded. while those t hat are above the threshold are kept along with their temporal locatio ns. We show the efficacy of the technique by compressing actual distur bance data. The file size of the compressed data is only one-sixth to one-third that of the original data. Therefore, the cost related to st oring and transmitting the data is significantly reduced.