Abstract：A new method on structure modal parameters identification is developed in the paper. The method is based on the AMUSE algorithm of second order statistic in the blind source separation. It uses Hilbert transformation of the measured data to build analysis data matrices and realizes the structure modal parameters identification by solving the generalized eigenvalue problems of the variance covariance matrix under different time lags. The results of the numerical applications show that this method remains not only valid for the real modes situation but also for the complex modes situation. Further more, the method possesses the advantages of simple calculation, high accuracy of identification and excellent robust for measuring the white noise.
张晓丹;姚谦峰. 基于盲源分离的结构模态参数识别[J]. , 2010, 29(3): 150-153.
X.D.Zhang;Q.F.Yao. The Method of Model Parameters Identification Based on Blind Sources Separation. , 2010, 29(3): 150-153.
2010, Vol. 29 
