Force localization and reconstruction based on a novel sparse Kalman filter

W Feng, Q Li, Q Lu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Most of existing methods for force identification assume the force locations to be known a
priori. In this paper, we propose a novel recursive algorithm, named sparse Kalman filter, to …

Group relevance vector machine for sparse force localization and reconstruction

W Feng, Q Li, Q Lu, C Li, B Wang - Mechanical Systems and Signal …, 2021 - Elsevier
Locations and amplitudes of external forces are essential information for design, loading
assessment, and health monitoring of structures. In this paper, we propose an original time …

Improved force identification with augmented Kalman filter based on the sparse constraint

D Wei, D Li, J Huang - Mechanical Systems and Signal Processing, 2022 - Elsevier
To ensure the accurate analysis and evaluation of structural integrity and vibration
responses, a novel technique is required for load identification with minimal error …

Bayesian sparse regularization for multiple force identification and location in time domain

S Samagassi, E Jacquelin, A Khamlichi… - Inverse Problems in …, 2019 - Taylor & Francis
In this work, reconstruction and location in time domain of multiple forces acting on a linear
elastic structure are achieved through a Bayesian approach to solve an inverse problem …

Force localization and reconstruction using a two-step iterative approach

Q Li, Q Lu - Journal of Vibration and Control, 2018 - journals.sagepub.com
In this paper, we propose a two-step iterative approach to both localize and reconstruct a
single point force acting on a structure. Since force reconstruction problems are typically ill …

Moving force identification based on sparse regularization combined with moving average constraint

C Pan, Z Huang, J You, Y Li, L Yang - Journal of Sound and Vibration, 2021 - Elsevier
An accurate input-output mathematical model is the basis of moving force identification
(MFI). However, an absolutely accurate mathematical model between moving forces and …

Time domain force identification based on adaptive q regularization

Q Li, Q Lu - Journal of Vibration and Control, 2018 - journals.sagepub.com
Traditional time domain force identification methods require prior knowledge about the force
profile to apply the appropriate regularization term. Generally speaking, ℓ 1 and ℓ 2 …

Stable force identification in structural dynamics using Kalman filtering and dummy-measurements

F Naets, J Cuadrado, W Desmet - Mechanical Systems and Signal …, 2015 - Elsevier
Many engineering applications require the knowledge of input forces to mechanical
systems. However, in practice, it is quite difficult to measure these forces directly. In order to …

Sensor placement methods for an improved force identification in state space

J Wang, SS Law, QS Yang - Mechanical Systems and Signal Processing, 2013 - Elsevier
The accuracy and effectiveness of force identification in time domain based on state space
can be influenced by the conditioning of the structural system Markov parameter matrix. Two …

Combining strain and acceleration measurements for random force estimation via Kalman filtering on a cantilevered structure

R Álvarez-Briceño, LPR de Oliveira - Journal of Sound and Vibration, 2020 - Elsevier
Several engineering applications demand in-operation dynamic forces exerted on structural
components to be modeled, however there are cases in which both phenomenological and …