阻尼识别的小波和EMD方法仿真对比研究

Simulation Contrast of Wavelet Transform and Empirical Mode Decomposition in Damping Identification

利用具体的平稳仿真信号,分别应用小波分析方法和EMD(Empirical Mode Decomposition,简称EMD)方法进行了阻尼的识别,物理意义明确且非常直观,认为在未引入噪声的前提下,二者均具有较好的识别效果;而当信号受到噪声污染时,小波方法的识别效果要好于EMD方法。因此,应用本文处理方法于实际阻尼识别中时,应根据具体情形而决定,以达到较好的识别效果。

Through a specific steady simulation signal,the damping identification is made by using the wavelet method and the empirical mode decomposition(EMD) method separately,which has a definite and visual physical meaning.It is found that both methods have good results when the noise is not introduced to the signal;but the wavelet method is better than the EMD when the signal is mixed with noise.In practical applications,we should select different processing methods according to the signal to be identified to achieve a good result.