DATA COMPRESSION USING PRONY'S METHOD AND WAVELET TRANSFORM IN POWER QUALITY MONITORING SYSTEMS
Journal Title: Metrology and Measurement Systems - Year 2006, Vol 13, Issue 3
Abstract
The paper presents a new method for data compression that can be used in power quality monitoring systems. Described algorithm offers high compression ratio and keeps good accuracy of the reconstructed signals. The algorithm uses a modified Prony's method for initial power waveform modeling (basic parameters of estimation) as well as wavelet transform for additional reduction of compression artifacts present in the Prony model of the analysed signal. The combination of the Prony's method and wavelet transform enables obtaining effective compression of real signals observed in monitoring systems. It also gives information about harmonics and transient oscillatory components of power waveforms that can be used for the power quality analysis. Examples of real signals recorded in power monitoring systems are presented in the paper as well as discussion of compression efficiency for different sets of compression artefacts level.
Authors and Affiliations
JAROSŁAW ZYGARLICKI, JANUSZ MROCZKA
Keywords
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