一种用于电能质量分析的增强数据压缩方法

IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243) Pub Date : 2001-11-29 DOI:10.1109/IECON.2001.976594

M. Ribeiro, J. Romano, C. Duque

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引用次数: 18

摘要

本文提出了一种基于小波变换的数据压缩方法，并将其应用于电力系统信号的质量评价中。所提出的方法是基于先前对待分析信号的正弦分量的估计，因此可以从原始数据中减去它以产生瞬态型信号，随后将其应用于压缩技术。该方法采用卡尔曼滤波和自适应陷波滤波技术对正弦分量进行估计。利用稀疏表示的小波特性，提高了压缩率，降低了信号的退化。最后，提出了一种存储编码信号的帧格式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An enhanced data compression method for applications in power quality analysis

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.

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IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)

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