Bayesian operational modal analysis with asynchronous data, Part II: Posterior uncertainty

Zhu, Yi-Chen and Au, Siu-Kui ORCID: 0000-0002-0228-1796 (2018) Bayesian operational modal analysis with asynchronous data, Part II: Posterior uncertainty. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 98. pp. 920-935.

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Abstract

A Bayesian modal identification method has been proposed in the companion paper that allows the most probable values of modal parameters to be determined using asynchronous ambient vibration data. This paper investigates the identification uncertainty of modal parameters in terms of their posterior covariance matrix. Computational issues are addressed. Analytical expressions are derived to allow the posterior covariance matrix to be evaluated accurately and efficiently. Synthetic, laboratory and field data examples are presented to verify the consistency, investigate potential modelling error and demonstrate practical applications.

Item Type:	Article
Uncontrolled Keywords:	Asynchronous data, Bayesian methods, FFT, Field test, Operational modal analysis, Posterior uncertainty
Depositing User:	Symplectic Admin
Date Deposited:	12 Jul 2017 09:17
Last Modified:	19 Jan 2023 06:59
DOI:	10.1016/j.ymssp.2017.05.023
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3008423