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
Combined approach for optimal sensor placement and experimental verification in the context of tower-like structures
TL;DR: For the reduction of computational time a combined approach using Fisher Information Matrix and mean-squared error in a two-step procedure is proposed under the consideration of different error types, leading to a sound experimental design that leads to a good estimate of the structure’s behavior and model parameters without the need of preliminary measurements for model updating.
Journal ArticleDOI
Time-Domain Operational Modal Analysis in Machine Tools: Optimal Parameters and Practical Issues
Yum Ji Chan,Jing-Wei Huang +1 more
TL;DR: It is shown that the function of reference nodes in measurement can be replaced by a time-alignment algorithm, if the noise level in signals are low, and SSI-OMA is computationally more efficient than previous implementations with a lower order of analysis and higher bandwidth.
Journal ArticleDOI
An evolutionary nested sampling algorithm for Bayesian model updating and model selection using modal measurement
Feng Qian,Wei Zheng +1 more
TL;DR: The main contribution of the presented algorithm is to greatly improve the sampling speed in the constrained sampling step by use of previous samples in order to promote the proposal of effective samples for Bayesian model updating and model selection.
Journal ArticleDOI
Integrated dynamic and thermography investigation of Mallorca cathedral
TL;DR: In this article, an integrated investigation of engineering archaeometry was carried out using dynamic identification, dynamic monitoring and Infra-Red (IR) thermography for the study of the dynamic behavior of Mallorca cathedral in Spain.
Journal ArticleDOI
Modal Parameter Identification of a Quayside Container Crane Based on Data-Driven Stochastic Subspace Identification
TL;DR: The overall structure of a quayside container crane was modally tested for the first time under ambient excitation and it can be found that the parameters identified by the proposed algorithm have high accuracy.
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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