In this paper, we tackle the state estimation problem in SHM systems. Therefore, a Bayesian approach based on particle filtering is proposed to perform the ...

In this paper, we use information geometry to develop a decentralized Bayesian inference mechanism for sequential filtering based not on local probability ...

Abstract—An important goal in structural health monitoring. (SHM) is to identify the state of the structure in order to detect when damage occurs.

There have been many attempts to predict remaining-useful-life of aircraft structures. Many non-destructive damage evaluation and testing techniques have ...

Bayesian method for states estimation in structural health monitoring application. Chaabane, Marwa, Mansouri, Majdi, Jaoua, Nouha, Ben Hamida, Ahmed, ...

shown that the Bayesian learning method can be utilized to estimate ... approach on earthquake engineering problems and on structural health monitoring.

May 5, 2017 · A formulation for simultaneously estimating the hidden states of structural responses as well as the external effects it depends on, for example ...

Nov 15, 2021 · A new Bayesian transfer learning method for structural health monitoring is proposed. Real-time long-term monitoring data are used to validate the proposed ...

This paper proposes a linear recursive Bayesian filter for minimum variance unbiased joint input and state estimation of structural systems. Unlike the ...

Oct 19, 2022 · This paper generalizes the form of correlated measurement error from spatial correlation only or temporal correlation only to spatial-temporal correlation.