Journal ArticleDOI
Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more
TLDR
In this paper, a novel approach of stochastic subspace identification is presented that incorporates the idea of the reference sensors already in the identification step: the row space of future outputs is projected into the rowspace of past reference outputs.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 1999-11-01. It has received 1236 citations till now. The article focuses on the topics: Operational Modal Analysis & Subspace topology.read more
Citations
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Journal ArticleDOI
Sequential Bayesian Inference for Uncertain Nonlinear Dynamic Systems: A Tutorial
TL;DR: An overview of Bayesian methods for sequential simulation from posterior distributions of nonlinear and non-Gaussian dynamic systems is presented and a unified framework of the various Particle Filter alternatives is presented for the solution of state, state-parameter and input-state-parameters estimation problems on the basis of sparse measurements.
Journal ArticleDOI
Validation of virtual sensing for the reconstruction of stresses in a railway bridge using field data of the KW51 bridge
Kristof Maes,Geert Lombaert +1 more
TL;DR: In this paper , the authors investigated the use of virtual sensing for stress/strain monitoring on steel railway bridges and found that the quasi-static response of the structure is largely affected by the behavior of the pot bearings, which cannot be easily modeled.
Experimental Procedures for Operational Modal Analysis of a Power Pack on a Drill Rig
TL;DR: All structures have modal properties such as natural frequencies and damping, and it is often of interest to estimate theseModal properties for certain structures, to be used whenmodelli ...
Experimental Validation of the Vibration Serviceability Assessment of a Lightweight Steel Footbridge with Tuned Mass Damper
TL;DR: In this paper, a vibration serviceability assessment of the Lamot footbridge is presented, showing that the TMD leads to a significant reduction of the acceleration levels of the footbridge.
Nonlinear system identification for vibration-based structural health monitoring
TL;DR: Given the need for effective nonlinear global models in structural health monitoring, the performance of two kernel-based sys tem identification methods on real-life monitoring data is investigated: kernel PCA for output-only monitoring and least-squares SVM for input-output monitoring.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Book
Modal Testing: Theory and Practice
TL;DR: A survey of the technology of modal testing, a new method for describing the vibration properties of a structure by constructing mathematical models based on test data rather than using conventional theoretical analysis.
Book
Subspace Identification for Linear Systems: Theory - Implementation - Applications
Peter Van Overschee,Bart De Moor +1 more
TL;DR: This book focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems, which allow for a fast, straightforward and accurate determination of linear multivariable models from measured inputoutput data.
Book
Applied system identification
TL;DR: In this paper, the authors introduce the concept of Frequency Domain System ID (FDSI) and Frequency Response Functions (FRF) for time-domain models, as well as Frequency-Domain Models with Random Variables and Kalman Filter.
Effective construction of linear state-variable models from input/output functions.
B. L. Ho,R. E. Kalman +1 more
TL;DR: Markov parametric algorithm for effective construction of minimal realizations of linear state-variable finite-dimensional dynamical systems from input-output data is presented in this article, where a Markov-parametric algorithm is used to construct the minimal realization.
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Subspace Identification for Linear Systems: Theory - Implementation - Applications
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