Artificial Neural Network (ANN)-Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties
In view of the universal existence of multi-source uncertainty factors in engineering
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …
Sequential Bayesian inference for uncertain nonlinear dynamic systems: a tutorial
In this article, an overview of Bayesian methods for sequential simulation from posterior
distributions of nonlinear and non-Gaussian dynamic systems is presented. The focus is …
distributions of nonlinear and non-Gaussian dynamic systems is presented. The focus is …
[HTML][HTML] An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
The establishment of a Digital Twin of an operating engineered system can increase the
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …
An unscented Kalman filter method for real time input-parameter-state estimation
M Impraimakis, AW Smyth - Mechanical Systems and Signal Processing, 2022 - Elsevier
The input-parameter-state estimation capabilities of a novel unscented Kalman filter is
examined herein on both linear and nonlinear systems. The unknown input is estimated in …
examined herein on both linear and nonlinear systems. The unknown input is estimated in …
Physics-informed machine learning for structural health monitoring
The use of machine learning in structural health monitoring is becoming more common, as
many of the inherent tasks (such as regression and classification) in developing condition …
many of the inherent tasks (such as regression and classification) in developing condition …
Extraction of contact-point response in indirect bridge health monitoring using an input estimation approach
R Nayek, S Narasimhan - Journal of Civil Structural Health Monitoring, 2020 - Springer
Identification of bridge dynamic properties from moving vehicle responses presents several
practical benefits. However, a problem that arises when working with vehicle responses for …
practical benefits. However, a problem that arises when working with vehicle responses for …
Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering
An optimal sensor placement (OSP) framework for virtual sensing using the augmented
Kalman Filter (AKF) technique is presented based on information and utility theory. The …
Kalman Filter (AKF) technique is presented based on information and utility theory. The …
[HTML][HTML] A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models
This contribution presents a hierarchical Bayesian filter for recursive input, state and
parameter estimation using spatially incomplete and noisy output-only vibration …
parameter estimation using spatially incomplete and noisy output-only vibration …
On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification
The problem of identifying dynamic structural systems is of key interest to modern
engineering practice and is often a first step in an analysis chain, such as validation of …
engineering practice and is often a first step in an analysis chain, such as validation of …
A linear Bayesian filter for input and state estimation of structural systems
M Ebrahimzadeh Hassanabadi, Z Liu… - … ‐Aided Civil and …, 2023 - Wiley Online Library
This paper proposes a linear recursive Bayesian filter for minimum variance unbiased joint
input and state estimation of structural systems. Unlike the augmented Kalman filter (AKF) …
input and state estimation of structural systems. Unlike the augmented Kalman filter (AKF) …