EMD和小波变换在结构模态参数辨识中的应用

doi:10.3969/j.issn.1001-2400.2012.02.031

Abstract

Abstract:

To overcome the limitation of hilbert-huang transform in decoupling the structural modes in vibration signal processing, a novel structural modal parameter identification method is proposed by combining empirical mode decomposition(EMD) with Morlet wavelet transform. First, the dynamical response signal is decomposed by using the EMD method to achieve intrinsic mode functions and implement the sifting processing of modes, on the basis of which the signal is reconstructed. Then, the variation of the transient amplitude and phase of wavelet transform coefficients with time is given by using the Morlet wavelet and the least squares fit, on the basis of which corresponding modal frequencies and modal damping ratios and mode shapes are achieved. Simulation results show that the method is effective in modal decoupling and accurate in modal parameter identification, which can not be implemented effectively by using the Hilbert transform of the individual intrinsic mode function due to modal mixture.

Key words: modal parameters, empirical mode decomposition, wavelet transform, modal decoupling

CLC Number:

O329

XU Yalan;MA Juan;CHEN Jianjun;LIU Zhen. Application of empirical mode decomposition and wavelet transform in structural modal parameter identification[J].J4, 2012, 39(2): 186-191.

References

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Application of empirical mode decomposition and wavelet transform in structural modal parameter identification

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