摘要
提出一种利用Laplace小波求自由衰减信号阻尼和频率的新方法.该方法利用Laplace小波实部的衰减特性来识别信号中的自由衰减波形,从而实现阻尼、频率的正确识别.同时为了提高识别效率,引入了粒子群算法来实现Laplace小波的参数寻优.仿真试验表明:这一方法具有较高的计算精度,且计算精度不受相邻模态耦合的影响.
A new method to exactly evaluate damping and frequency is presented using Laplace wavelet and particle swarm optimizer（PSP）. Taking advantage of the attenuation of the real part of Laplace wavelet to recognize the freely decaying waveforms from signal so as to recognize correctly Doth damping and frequency. Meanwhile, PSO is introduced to optimize the parameters of Laplace wavelet. Simulation results showed that the accuracy of this method is comparatively higher, and the adjacent modal coupling have no effect on its accuracy.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第7期794-797,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(50275024)
关键词
阻尼识别
频率识别
Laplace小波
粒子群算法
寻优
damping recognition
frequency recognition
Laplace wavelet
particle swarm optimizer
optimization
