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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Estimation and prediction of convection-diffusion-reaction systems from point measurement
TL;DR: In this paper, an identification approach with output-error (OE) modelling techniques that links important physical parameters in a reduced order model to the OE parameters is presented. But this approach is not suitable for large-scale convection-diffusion-reaction (CDR) systems.
Calculation of bridge deformations due to train passages by the use of strain and acceleration measurements from bridge monitoring supported by experimental tests
TL;DR: In this paper, a monitoring campaign has been performed on a filler beam railway bridge for high-speed trains, measuring strains and accelerations due to train passages, where a very dense grid of measurement sensors was applied to the bottom side of the bridge deck, which allowed the calculation of bridge deformations from strain measurements.
Journal ArticleDOI
Decentralized damage detection of seismically-excited buildings using multiple banks of Kalman estimators
Jau-Yu Chou,Chia-Ming Chang +1 more
TL;DR: Results indicate that the proposed decentralized damage detection method based on modal prediction errors via multiple banks of Kalman estimators is quite effective to inform damage of structures in terms of damage occurrence, locations, and levels.
Journal ArticleDOI
Identification of damage in reinforced concrete columns under progressive seismic excitation stages
TL;DR: In this paper, the authors investigated the structural properties of eccentric reinforced concrete columns mounted onto a shaking table and subject to progressively increasing seismic excitations and demonstrated the applicability of specially packaged surface-mounted long-gauge fiber Bragg grating (FBG) sensors for detecting the initiation and the progression of cracks due to reverse dynamic loads.
Journal ArticleDOI
An output-only damage identification method based on H∞ theory and state projection estimation error (SP2E)
Armin Lenzen,Max Vollmering +1 more
TL;DR: A new advantageous approach for damage identification of mechanical structures based on state projection estimation error (SP2E) is proposed, and an experimental sensitivity study has been conducted, which confirmed the applicability of SP2E for damage localization.
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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