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多小波的多分辨率分析在电力信号处理中的应用
引用本文:刘志刚,曾怡达,钱清泉.多小波的多分辨率分析在电力信号处理中的应用[J].西南交通大学学报,2004,39(3):318-323.
作者姓名:刘志刚  曾怡达  钱清泉
作者单位:1. 西南交通大学铁道电气化自动化研究所,四川,成都,610031
2. 西南交通大学峨眉分校,四川,峨眉山,614202
基金项目:国家自然科学基金资助项目(59977019),四川省应用基础研究项目(02GY029 039)
摘    要:简要介绍了多小波的多分辨率分析方法.以电力系统故障电压信号为原始信号,探讨了多小波在故障检测、故障数据压缩以及故障信号去噪方面的应用,并与传统小波进行了详细比较.仿真算例表明,选择合适的预处理方法,多小波总体上能比传统小波取得更好的效果.

关 键 词:多小波  多分辨率分析  电力系统  故障  信号  检测  压缩  去噪
文章编号:0258-2724(2004)03-0318-06

Application of Multiwavelet Multiresolution Analysis in Signal Processing of Power Systems
LIU Zhi-gang,ZENG Yi-da,QIAN Qing-quan.Application of Multiwavelet Multiresolution Analysis in Signal Processing of Power Systems[J].Journal of Southwest Jiaotong University,2004,39(3):318-323.
Authors:LIU Zhi-gang  ZENG Yi-da  QIAN Qing-quan
Institution:LIU Zhi-gang~1,ZENG Yi-da~2,QIAN Qing-quan~1
Abstract:Multiresolution analysis method of multiwavelet was briefly introduced. Its application in fault monitoring, fault data compression and denoising was studied, and its performances in fault diagnosis and monitoring and fault data processing were compared with traditional wavelet. Simulation results show that the performances of multiwavelet is better in general than those of traditional wavelet if a proper preprocessing method is adopted in multiwavelet.
Keywords:multiwavelet  multiresolution analysis  power system  fault  signal  diagnosis  compression  denoising
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