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Identification of Modal Parameters Using Improved EMD and Random Decrement Method
PENG Cheng;ZHANG Li-min;LI Yuan-Hui;QIU Fei-Li
2011, 31 (6):
53-56.
DOI: 10.3969/j.issn.1006-1355-2011.05.012
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.
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