Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value

• Published in: Mechanical systems and signal processing Vol. 26; no. JAN; pp. 60 - 75
• Main Author: Au, Siu-Kui
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2012; Elsevier
• Subjects: Algorithms; Asymptotic properties; Bayesian analysis; Bayesian methods; Covariance matrix; Exact sciences and technology; FFT; Frequency domains; Fundamental areas of phenomenology (including applications); Mathematical analysis; Measurement and testing methods; Modal identification; Operational modal analysis; Partitioning; Physics; Solid mechanics; Structural and continuum mechanics; System identification; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...); System identification; Bayesian methods; FFT; Operational modal analysis; Bayes estimation; Measurement; Uncertainty; Vibration; Modal analysis; Fast Fourier transformation; Frequency domain method; Iterative method; Vibration test; Covariance matrix; Modeling; Optimization; Inverse problem; Uncertain system; Time domain method; Ill conditioned problem

A Bayesian theory for modal identification using the fast Fourier transform (FFT) of ambient vibration data has been formulated previously. It provides a rigorous means for obtaining modal properties as well as their uncertainties by operating in the frequency domain, which allows a natural partitio...