基于最优复Morlet小波的结构密集模态参数识别

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (1) : 135-139.

论文

基于最优复Morlet小波的结构密集模态参数识别

杜永峰1,2，赵丽洁1，党星海,1李万润1

作者信息 +

Optimized complex Morlet wavelet -based structural closely spaced modes parameter identification

Du Yongfeng 1,2, Zhao Lijie1, DANG Xinghai1 ,Li Wanrun1

Author information +

文章历史 +

摘要

针对结构密集模态参数识别精度不高的问题，提出了一种小波Shannon熵与最小标准差相结合来优化复Morlet小波参数的方法。首先理论推导了中心频率与带宽参数的取值范围，其次采用两个最小原则对中心频率与带宽参数同时进行优化，通过仿真算例和模型实验的参数识别，验证了参数优化后的Morlet小波可准确地识别结构的密集模态参数，并且具有一定的抗噪性能。

Abstract

The paper presents the a method of the research on structural closely spaced modes parameter identification. A new optimization method with center frequency and bandwidth parameters of complex morlet wavelet was proposed, which uses combining Wavelet Shannon and minimum standard deviation. Firstly, the range of the center frequency and bandwidth parameters were derived theoretical .Secondly, center frequency and bandwidth parameters were optimized by two minimum criterion simultaneously. The accuracy and anti-noise performance of the optimization method has been confirmed through numerical simulation model and framework model experimental test.

导出引用

杜永峰;赵丽洁;党星海;李万润. 基于最优复Morlet小波的结构密集模态参数识别[J]. 振动与冲击, 2015, 34(1): 135-139

Du Yongfeng;Zhao Lijie;DANG Xinghai;Li Wanrun. Optimized complex Morlet wavelet -based structural closely spaced modes parameter identification[J]. Journal of Vibration and Shock, 2015, 34(1): 135-139