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
Simultaneous seismic input and state estimation with optimal sensor placement for building structures using incomplete acceleration measurements
TL;DR: In this article , an optimal sensor placement algorithm (OSPA) is proposed for real-time unknown input and state estimation, which ensures the required system conditions are met. But, the algorithm requires strong* detectability.
Journal ArticleDOI
Automated modal identification by quantification of high-spatial-resolution response measurements
Charles Dorn,Yongchao Yang +1 more
TL;DR: In this article , an approach is presented to enable automated identification of modal parameters by quantifying the spatial features of full-field, high-spatial-resolution response measurements.
Journal ArticleDOI
A new automated procedure of modal identification in operational conditions
TL;DR: The presented algorithms can be used to effectively manage the results obtained by any parametric identification method that involves the construction and the interpretation of stabilization diagrams and are exemplified using data continuously collected on the historic masonry tower of San Gottardo in Corte.
Journal ArticleDOI
In situ seismic testing for experimental modal analysis of civil structures
TL;DR: In this article , a novel excitation method for in situ experimental modal analysis (EMA) is presented, which consists of base excitation through ground accelerations generated through a large mobile shaker, a unique form of building excitation which has been studied to date.
Journal ArticleDOI
Combining optimization methods with response spectra curve-fitting toward improved damping ratio estimation
TL;DR: In this paper, the power spectral density (PSD) of a given modal coordinate was found using a blind source separation (BSS) algorithm and a curve-fitting technique was developed that uses optimization to find the modal parameters that best fit each side spectra of the PSD.
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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