State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, P. R. China; State Key Laboratory of Bridge Structure Dynamics, Chongqing Communication Research &Design Institute,Chongqing 400067, P. R. China 在期刊界中查找 在百度中查找 在本站中查找
State Key Laboratory of Bridge Structure Dynamics, Chongqing Communication Research &Design Institute,Chongqing 400067, P. R. China 在期刊界中查找 在百度中查找 在本站中查找
A novel modal parameter identification method based on stratified sampling and optimism complex Morlet wavelet is proposed for short data sequences. Stratified sampling is applied to divide the structure response signal into different layers which called subsamples with different thresholds, and then free decrement response signal of each layer is extracted by random decrement technique. The optimism complex Morlet wavelet transform is applied to identify modal parameter of each layer, and the weight of the layer is also determined based on the sample standard deviation. The modal parameter of the structure can be obtained by weighted calculation.The engineering application shows that the proposed method has the ability to identify modal parameter accurately, decouple lowfrequency intensive modal composition and restrain highfrequency fake modal effectively.
