Abstract
From the principle of independent component analysis (ICA) and the uncertainty of amplitude, order, and number of source signals, this paper expounds the root reasons for modal energy uncertainty, identified order uncertainty, and modal missing in output-only modal analysis based on ICA methods. Aiming at the problem of lack of comparison and evaluation of different ICA algorithms for output-only modal analysis, this paper studies the different objective functions and optimization methods of ICA for output-only modal parameter identification. Simulation results on simply supported beam verify the effectiveness, robustness, and convergence rate of five different ICA algorithms for output-only modal parameters identification and show that maximization negentropy with quasi-Newton iterative of ICA method is more suitable for modal parameter identification.
Highlights
Identification of modal parameters including modal frequencies, modal shapes, and damping ratio is an important research for structure dynamic characteristics
This paper mainly focuses on comparison and evaluation of different independent component analysis (ICA) algorithms for output-only modal analysis and finds out which method is of the best accuracy and robustness
A big reason for the difference is that the process of maximization kurtosis and negentropy for outputonly modal analysis is in a serial manner, and other methods are in parallel manner
Summary
Identification of modal parameters including modal frequencies, modal shapes, and damping ratio is an important research for structure dynamic characteristics. Output-only modal analysis based on BSS has been further developed [21, 22] and widely applied in practice. Based on the theoretically described method as mentioned, a comparison of different ICA algorithms for output-only modal analysis is made. This paper mainly focuses on comparison and evaluation of different ICA algorithms for output-only modal analysis and finds out which method is of the best accuracy and robustness.
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