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连续小波变换应用于密集模态参数识别
引用本文:柳小勤,岳林,朱如鹏.连续小波变换应用于密集模态参数识别[J].南京航空航天大学学报,2007,39(4):496-500.
作者姓名:柳小勤  岳林  朱如鹏
作者单位:南京航空航天大学机电学院,南京,210016
摘    要:用连续小波变换方法进行模态参数识别时,减小小波函数的带宽可以提高小波变换的频率分辨能力,但同时也会增大边沿效应,影响密集模态参数识别的精度。本文提出了极值位置方法,在模态耦合严重的小波脊附近,找到模态解耦最好的尺度,在此尺度上进行频率和阻尼的识别,可以获得较好的识别精度。使用Morlet小波函数,对GARTEUR飞机模型中的三阶密集模态进行识别,验证了该方法的有效性。

关 键 词:模态分析  小波变换  密集模态  Morlet
文章编号:1005-2615(2007)04-0496-05
修稿时间:2006-06-29

Continuous Wavelet Transform for Close Modal Parameter Estimation
Liu Xiaoqin,Yue Lin,Zhu Rupeng.Continuous Wavelet Transform for Close Modal Parameter Estimation[J].Journal of Nanjing University of Aeronautics & Astronautics,2007,39(4):496-500.
Authors:Liu Xiaoqin  Yue Lin  Zhu Rupeng
Institution:College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics Astronautics, Nanjing, 210016, China
Abstract:Continuous wavelet transform based on the Morlet function is used to identify the frequencies and damping ratios of close modes.By minifying the bandwidth of wavelet function,close modes are easier to be extracted.Meanwhile the edge-effect increases,and the damping precision ratios decrease. It is very difficult to decompose compact modes into separated wavelet ridges.Numerical simulation shows that there are two scales beside the composed wavelet ridge,where modes are separated better.A method is developed to find those extreme positions,and then modal parameters are obtained from the wavelet coefficients at those positions.The accuracy of the method is confirmed by GARTEUR plane model.
Keywords:modal analysis  wavelet transform(CWT)  close mode  Morlet
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