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
Multi-Modal Active Vibration Control of a Lightweight Stress-Ribbon Footbridge Based on Subspace Identification
TL;DR: The effectiveness of the proposed experimental identification method was shown in case of vertical resonance modes in vibration control experiments, and the identified state-space model from SIM can easily be transformed into a reduced modal state- space model for the AVC controller design.
Journal ArticleDOI
Simulating application of operational modal analysis to a test rig
Gustavo Chaves Storti,Laís Carrer,Felipe Wenzel da Silva Tuckmantel,Tiago Henrique Machado,Katia Lucchesi Cavalca,Nicolò Bachschmid +5 more
TL;DR: The present paper aims to analyze, with the aid of a test rig, the conditions in which OMA will result successful, and includes both the operating condition of the shaft and the amount and quality of the noise.
Proceedings ArticleDOI
Vibration-based damage identification of reinforced concrete member using optical sensor array data
TL;DR: The objective of this paper is to conduct structural system identification of reinforced concrete frame by using the proposed structural integrity index (identify element curvature and null-space damage index) and the estimation of finite element strain.
Journal ArticleDOI
Natural period and vertical distribution of base shear in confined masonry buildings using ambient vibration test
Pranav Chakra-Varthy,Dhiman Basu +1 more
TL;DR: In this paper, the authors explored the possible recommendations from the ambient vibration testing of a class of confined masonry building stock and compared them with a set of recorded ground motions using a numerical model and experimental results.
Damage identification in masonry structures with vibration measurements
TL;DR: In this article, an approach combining global and local ND methods was proposed to detect and locate the damage by means of vibrations measurements, and two dynamic modal identification tests were performed before and after the structural rehabilitation.
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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