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.
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.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2004年第3期318-323,共6页
Journal of Southwest Jiaotong University
基金
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)
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
multiwavelet
multiresolution analysis
power system
fault
signal
diagnosis
compression
denoising
