An approach for the Bayesian model updating of a linear dynamic system using complex
modal data identified from dynamic test data is proposed in this paper. Very few works have …

Vibration-based global damage detection based on updating of finite element (FE) model by
targeting the modal measurements is a significant area of interest in structural health …

The paper presents a Bayesian Finite element (FE) model updating methodology by utilizing
modal data. The dynamic condensation technique is adopted in this work to reduce the full …

This paper introduces a fast Gibbs sampler for solving a fully Bayesian problem in
operational modal analysis. The proposed method is able to infer modal properties from the …

In order to improve the accuracy of battery pack inconsistency fault detection, an optimal
deep belief network (DBN) single battery inconsistency fault detection model based on the …

This paper presents a Bayesian method for updating linear dynamical systems using
complex modal data due to the effects of non-classical damping collected from multiple …

The posterior probability density distribution of updating parameters within the Bayesian
model updating framework is relatively complex, and effective sampling techniques are …

Bayesian model updating facilitates the calibration of analytical models based on
observations and the quantification of uncertainties in model parameters such as stiffness …

Abstract The process of Finite Element (FE) modelling is often associated with uncertainties
which necessitates its updating using measured data. Updating dynamical model has a …

Dans une première phase de travail, l'analyse modale théorique d'une turbine soumise à un
débalancement a permis de montrer que les turbines présentent un riche contenu …