基于最优预处理方法的多小波故障数据压缩方案被引量：13

A FAULT SIGNAL DATA COMPRESSION PLAN BASED ON OPTIMAL PRE-PROCESSING METHOD OF MULTIWAVELET

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摘要多小波的预处理方法是影响多小波应用的关键因素之一,文章提出基于预处理方法对多小波本身滤波器的影响和实际信号的应用两方面来综合选择最优预处理方法,并提出了基于该方法的多小波数据压缩方案,应用于电力系统输电线路故障信号的数据压缩,仿真结果表明,该方案较好地解决了多小波最优预处理方法的选择问题,能得到满意的压缩效果。 The pre-processing method of multiwavelet is one of key factors impacting its applications. It is suggested that the optimal pre-processing method should be comprehensively chosen according to both the influence of pre-processing method on filter and the application of practical signal, and a compression plan for multiwavelet data based oh this method is proposed and applied to the data compression of transmission line fault signal. Simulation results show that the proposed plan can solve the option of multiwavelet pre-processing method well and the compression effect is satisfactory.

作者刘志刚何正友钱清泉

机构地区西南交通大学电气化自动化研究所

出处《电网技术》 EI CSCD 北大核心 2005年第11期40-43,共4页 Power System Technology

基金国家自然科学基金资助项目(50407009) 四川省应用基础研究项目(02GY029-039).~~

关键词预处理方法数据压缩多小波方案最优综合选择故障信号输电线路电力系统仿真结果选择问题压缩效果应用滤波器 Computer simulation Data compression Electric fault currents Electric power systems Power transmission Wavelet transforms

分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TE626.21 [石油与天然气工程—油气加工工程]

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