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
Uncertainty quantification in operational modal analysis with stochastic subspace identification: Validation and applications
TL;DR: In this article, a method for estimating the (co)variance of modal characteristics that are identified with the stochastic subspace identification method is validated for two civil engineering structures.
Journal ArticleDOI
Blind source separation based vibration mode identification
Wenliang Zhou,David Chelidze +1 more
TL;DR: A novel method for linear normal mode (LNM) identification based on blind source separation (BSS) is introduced and second order blind identification (SOBI) is used to demonstrate noise robustness of BSS-based mode shape extraction.
Journal Article
An Overview of Operational Modal Analysis: Major Development and Issues
TL;DR: An overview of the major development of operational modal identification is presented in this paper, which includes four time domain approaches, i.e. NExT-type, ARMAV model-based, stochastic realization-based and Stochastic subspace-based methods, and two frequency domain approaches.
Journal ArticleDOI
Experimental and numerical analysis of a composite bridge for high-speed trains
TL;DR: In this paper, the authors presented the in situ dynamic measurements and the experimental validation of the numerical model for the prediction of high-speed train-induced vibration in the Sesia viaduct.
Journal ArticleDOI
Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses
Soojin Cho,Hongki Jo,Shinae Jang,Jong-Woong Park,Hyung-Jo Jung,Chung Bang Yun,Billie F. Spencer,Ju Won Seo +7 more
TL;DR: In this paper, the authors analyzed the data collected from the 2nd Jindo Bridge, a cable-stayed bridge in Korea that is a structural health monitoring (SHM) international test bed for advanced wireless smart sensors network (WSSN) technology.
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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