首页 | 本学科首页   官方微博 | 高级检索  
     

CL多小波预处理方法在故障数据压缩中的应用
引用本文:曾怡达,刘志刚,钱清泉. CL多小波预处理方法在故障数据压缩中的应用[J]. 电网技术, 2004, 28(7): 10-14
作者姓名:曾怡达  刘志刚  钱清泉
作者单位:西南交通大学峨嵋分校电气系,四川省,峨嵋市,614202;西南交通大学电气化自动化研究所,四川省,成都市,610031
基金项目:国家自然科学基金,四川省应用基础研究计划
摘    要:在介绍CL(Chui-Lian)多小波基本理论的基础上,探讨了CL多小波的预处理方法及其对CL多小波原有滤波器响应的影响,分析后认为Haar和平衡预处理方法是CL多小波最有效的预处理方法.文章还做了将具有这两种预处理方法的CL4多小波应用于电力系统正弦信号和故障暂态信号数据压缩的仿真实验.仿真结果表明,基于Haar和平衡预处理方法的CL4多小波具有较GHM多小波和传统db4小波更好的数据压缩效果.

关 键 词:CL多小波  预处理方法  数据压缩  电力系统故障
文章编号:1000-3673(2004)07-0010-05
修稿时间:2003-11-11

PRE-PROCESSING METHODS OF CL MULTIWAVELET AND THEIR APPLICATIONS IN POWER SYSTEM FAULT DATA COMPRESSION
ZENGYi-da,LIU Zhi-gang,QIAN Qing-quan. PRE-PROCESSING METHODS OF CL MULTIWAVELET AND THEIR APPLICATIONS IN POWER SYSTEM FAULT DATA COMPRESSION[J]. Power System Technology, 2004, 28(7): 10-14
Authors:ZENGYi-da  LIU Zhi-gang  QIAN Qing-quan
Abstract:On the basis of the presentation on basic theory of CL multiwavelet, the pre-processing methods of CL multiwavelet and their influence on former filters' response are discussed and analyzed, and the conclusion is that the "Haar" and "Balancing" pre-processing methods are most suitable ones to CL multiwavelet. The simulations on applying CL4 multiwavelet possessing these two pre-processing methods to compression of sinusoidal signals and transient fault signals in power system are carried out. The simulation results show that better compression results can be given by the CL4 multiwavelet based on "Haar" and "Balancing" pre-processing methods than those by GHM multiwavelet and traditional db4 wavelet.
Keywords:CL multiwavelet  Pre-processing method  Data compression  Power system fault
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号