DocumentCode :
403750
Title :
An improved method for signal processing and compression in power quality evaluation
Author :
Ribeiro, Moisés V. ; Romano, João M T ; Duque, Carlos A.
Volume :
2
fYear :
2003
fDate :
13-17 July 2003
Abstract :
This paper introduces a new waveform coding technique, based on wavelet transform, for power quality monitoring purposes. The proposed enhanced data compression method (EDCM) presents a complete adaptive signal processing approach to estimate the fundamental sinusoidal component and separate it from the transient ones in the monitored signal. When these nonstationary components are submitted to the compression technique, the sparse representation property of the wavelet transform provides an improvement in the compression ratio. Also, the degradation inserted by the lossy compression process is minimized. Simulation results confirm the effectiveness of the proposed method when compared to the standard solution, characterized by the compression of the whole monitored signal.
Keywords :
adaptive signal processing; amplitude estimation; data compression; frequency estimation; phase estimation; power supply quality; wavelet transforms; adaptive signal processing; amplitude estimation; compression ratio; compression technique; enhanced data compression method; frequency estimation; lossless compression; lossy compression process; phase estimation; power quality monitoring purpose; signal monitoring; sinusoidal component; sparse representation property; waveform coding technique; wavelet transform; Adaptive signal processing; Amplitude estimation; Data compression; Degradation; Monitoring; Phase estimation; Power quality; Senior members; Signal processing; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
Type :
conf
DOI :
10.1109/PES.2003.1270480
Filename :
1270480
Link To Document :
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