作　　者： ; ;

机构地区： 西南交通大学电气工程学院铁道电气化与自动化研究所

出　　处： 《中国电机工程学报》 2003年第10期22-26,共5页

摘　　要： 在介绍多小波MALLAT算法的基础上,与传统小波进行了比较。通过对传统小波与多小波能量压缩率的研究,详细比较了基于不同预处理方法的多小波与传统小波的能量压缩率。利用两种数据压缩方法,通过大量的仿真工作,对不同预处理方法的多小波与小波的压缩效果进行了深入讨论比较,结果表明:预处理方法的选择是影响多小波压缩效果的关键因素,若选择合适的预处理方法,利用多小波对电力系统故障暂态数据进行压缩,可以获得比传统小波更好的压缩效果。 Based on the introduction of multiwavelet mallat algorithm, the properties comparison is done between multiwavelet and traditional wavelet. The energy compaction ratio of wavelet and multiwavelet based on different pre-processing methods are discussed and compared in detail. Two data compression methods are adopted in transient fault signals processing of electric power system. The compression performance of wavelet and multiwavelet based on different pre-processing methods are done and compared through a great deal of simulation work. The results indicate that the choice of pre-processing methods is a key factor to compression performance of multiwavelet, and the compression performance of power fault transient signals based on proper pre-processing methods is better than traditional wavelet?

关 键 词： 电力系统 故障录波 小波 暂态数据 数据压缩

领　　域： [电气工程]