{"title":"An improved method for signal processing and compression in power quality evaluation","authors":"Moises Vidal Ribeiro, J. Romano, C. Duque","doi":"10.1109/PES.2003.1270480","DOIUrl":null,"url":null,"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.","PeriodicalId":131986,"journal":{"name":"2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2003.1270480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
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.
本文介绍了一种新的基于小波变换的电能质量监测波形编码技术。提出的增强数据压缩方法(enhanced data compression method, EDCM)提供了一种完整的自适应信号处理方法,可以估计出被监测信号中的基本正弦分量,并将其与瞬态正弦分量分离。当将这些非平稳分量提交到压缩技术中时,小波变换的稀疏表示特性提高了压缩比。此外,由有损压缩过程插入的退化是最小的。仿真结果证实了该方法的有效性,并与标准解决方案进行了比较,其特点是对整个被监测信号进行了压缩。