噪声与振动控制2011，Vol.32Issue(6)：53-56,4.DOI:10.3969/j.issn.1006-1355-2011.05.012
利用改进的EMD和随机减量法识别模态参数
Identification of Modal Parameters Using Improved EMD and Random Decrement Method
摘要
Abstract
In order to overcome the interference of environmental noise and improve the quality of EMD, the wavelet method is used to eliminate the noise signal. The correlation coefficients are applied to remove the pseudo components. And then, the random decrement method and ITD method are used to identify the natural frequency and damping ratio of train's floor. Compared the identification results with those from LMS commercial software, it is found that the relative error of frequency is less than 5%, the relative error of damping ratio is less than 7%. This shows that the method has high precision of identification.关键词
振动与波/模态参数识别/小波/EMD/随机减量法/ITDKey words
vibration and wave / modal parameter identification / wavelet/ EMD / random decrement method/ ITD分类
交通工程引用本文复制引用
彭程,张立民,李原辉,邱飞力..利用改进的EMD和随机减量法识别模态参数[J].噪声与振动控制,2011,32(6):53-56,4.基金项目
国家科技支撑计划项目(2009BAG12A04-C03) （2009BAG12A04-C03）
