Title :
An enhanced data compression method for applications in power quality analysis
Author :
Ribeiro, Moisés V. ; Romano, João Marcos T ; Duque, Carlos A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. Estadual de Campinas, Sao Paulo, Brazil
Abstract :
This paper presents an enhanced method for data compression using a wavelet transform, to be applied in power systems signals for quality evaluation. The proposed approach is based on a previous estimation of the sinusoidal components of the signal under analysis, so that it could be subtracted from the original data in order to generate a transient type signal, which is subsequently applied to the compression techniques. The approach employs the Kalman filter and the adaptive notch filter techniques to provide the estimation of the sinusoidal components. Taking into account the wavelet property of sparse representation makes an improvement in the compression rate and in the signal degradation is attained. Finally, a proposed frame format to store the coded signal is presented
Keywords :
Kalman filters; adaptive filters; data compression; notch filters; power supply quality; wavelet transforms; Kalman filter; adaptive notch filter techniques; amplitude estimation; coded signal; enhanced data compression method; frequency estimation; phase estimation; power quality analysis; power systems signals; sinusoidal components; sinusoidal components estimation; sparse representation; transient type signal generation; wavelet transform; Adaptive filters; Data compression; Power engineering and energy; Power quality; Power system analysis computing; Power system transients; Signal analysis; Signal generators; Transient analysis; Wavelet transforms;
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
DOI :
10.1109/IECON.2001.976594
