Input-state-parameter estimation of structural systems from limited output information

VK Dertimanis, EN Chatzi, SE Azam… - Mechanical Systems and …, 2019 - Elsevier
A successive Bayesian filtering framework for addressing the joint input-state-parameter
estimation problem is proposed in this study. Following the notion of analytical, rather than …

Road profile estimation and half-car model identification through the automated processing of smartphone data

K Xue, T Nagayama, B Zhao - Mechanical Systems and Signal Processing, 2020 - Elsevier
This paper proposes a robust road profile estimation method and vehicle parameter
identification method through an optimization with an objective function and constraint …

On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification

TJ Rogers, K Worden, EJ Cross - Mechanical Systems and Signal …, 2020 - Elsevier
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 …

Generalized minimum variance unbiased joint input-state estimation and its unscented scheme for dynamic systems with direct feedthrough

W Song - Mechanical Systems and Signal Processing, 2018 - Elsevier
This paper proposes a joint input-state estimation technique that can estimate unknown
inputs, states and parameters of dynamic systems with direct feedthrough. The estimation is …

Observability of nonlinear systems with unmeasured inputs

K Maes, MN Chatzis, G Lombaert - Mechanical Systems and Signal …, 2019 - Elsevier
This paper presents a geometric algorithm to investigate the theoretical observability of
nonlinear systems with partially measured inputs and outputs. The algorithm is based on Lie …

Tracking of inputs, states and parameters of linear structural dynamic systems

K Maes, F Karlsson, G Lombaert - Mechanical Systems and Signal …, 2019 - Elsevier
This paper presents a novel algorithm for joint input-state-parameter estimation in structural
dynamics. The algorithm is derived from an existing smoothing algorithm. In each time step …

Towards Bayesian system identification: with application to SHM of offshore structures

TJ Rogers - 2019 - etheses.whiterose.ac.uk
Within the offshore industry Structural Health Monitoring remains a growing area of interest.
The oil and gas sectors are faced with ageing infrastructure and are driven by the desire for …

Strain estimation of truss structures based on augmented Kalman filtering and modal expansion

P Ren, Z Zhou - Advances in Mechanical Engineering, 2017 - journals.sagepub.com
Structural health monitoring of the truss structure is often confronted with spatial incomplete
measured data due to the reasons of the cost of the sensors, the inaccessibility of some …

Seismic-induced damage detection through parallel force and parameter estimation using an improved interacting Particle-Kalman filter

S Sen, A Crinière, L Mevel, F Cérou… - Mechanical Systems and …, 2018 - Elsevier
Standard filtering techniques for structural parameter estimation assume that the input force
is either known or can be replicated using a known white Gaussian model. Unfortunately for …

A novel coupled state/input/parameter identification method for linear structural systems

Z Wan, T Wang, L Li, Z Xu - Shock and Vibration, 2018 - Wiley Online Library
In many engineering applications, unknown states, inputs, and parameters exist in the
structures. However, most methods require one or two of these variables to be known in …