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
Measured dynamic properties for FRP footbridges and their critical comparison against structures made of conventional construction materials
TL;DR: In this paper, the authors report new experimental data for dynamic properties (i.e., modal mass, natural frequency and damping ratio) of eight FRP composite footbridges in Europe.
Journal ArticleDOI
Damage identification using modal strains identified from operational fiber-optic Bragg grating data:
TL;DR: Vibration-based structural health monitoring of civil structures relies on the repeated identification of dynamic structural characteristics of the structure from output-only vibration data as discussed by the authors, which is difficult to verify.
Journal ArticleDOI
Damage detection of shear buildings using deflections obtained by modal flexibility
TL;DR: In this paper, a vibration-based damage detection method for shear buildings using the damage-induced deflections estimated by modal flexibility from ambient vibration measurements is proposed, which is based on outlier analysis to account for measurement noise.
Journal ArticleDOI
Damage detection for beam-like structures using the normalized curvature of a uniform load surface
TL;DR: In this article, a vibration-based damage detection method for beam-like structures that uses the normalized uniform load surface (NULS) curvature obtained by modal flexibility is presented.
Journal ArticleDOI
Experimental Study of Damage Detection by Data-Driven Subspace Identification and Finite-Element Model Updating
TL;DR: In this paper, the authors proposed a method, which combines the structural system identification and model updating techniques, for the damage detection of a steel frame structure and a RC frame, which consists of two steps: identifying the system dynamic characteristics using the subspace identification (SI) technique from input/output measurements and developing a damage assessment method for structural members (including joints) based on a progressive finite-element model updating and a large-scale optimization using a nonlinear least-square technique.
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.
Related Papers (5)
Subspace Identification for Linear Systems: Theory - Implementation - Applications
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