A two-stage fast Bayesian spectral density approach for ambient modal analysis. Part II: Mode shape assembly and case studies
A Bayesian mode shape assembly method is proposed to assemble the local mode shapes. The data qualities of different setups can be accounted for automatically. The optimal global mode shapes are obtained by a fast iterative scheme. The Hessian matrix is derived analytically to specify the covariance matrix. The algorithms are verified using synthetic data and field data successfully.
ambient modal analysis mode shape assembly bayesian analysis lagrange approach wireless sensor