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
A diagnostic logic for preventing structural failure in concrete displacing booms
TL;DR: In this paper, a health monitoring algorithm for a specific kind of construction machinery (concrete displacing booms) is proposed based on the knowledge of the geometrical and dynamic parameters of the boom, estimated through a stand-alone self-learning procedure.
Journal ArticleDOI
Damage Detection of Shear Connectors in Composite Bridges
Kai Liu,G. De Roeck +1 more
TL;DR: In this article, a damage indicator based on the local modal curvature and the wavelet transform modulus maxima is proposed for stud damage identification, and the efficiency of the damage indicator is investigated by means of numerical simulations where different levels of damage are introduced to the stud by decreasing the spring stiffness.
Journal ArticleDOI
Damage identification in skeletal structures using the virtual distortion method in frequency domain
TL;DR: In this paper, the virtual distortion method is applied to structural health monitoring in the frequency domain, with the assumption of using harmonic excitation (quasi-static problem), and the hardware devices are piezoelectric patch sensors.
Journal ArticleDOI
Agglomerative concentric hypersphere clustering applied to structural damage detection
Moisés Silva,Adam Santos,Reginaldo Santos,Eloi Figueiredo,Claudomiro Sales,João C. W. A. Costa +5 more
TL;DR: The proposed cluster-based method, named as agglomerative concentric hypersphere (ACH), to detect structural damage in engineering structures reveals a better classification performance than the alternative ones in terms of false-positive and false-negative indications of damage, demonstrating a promising applicability in real-world structural health monitoring scenarios.
Journal ArticleDOI
The identification of a dam's modal parameters under random support excitation based on the Hankel matrix joint approximate diagonalization technique
Lin Cheng,Dongjian Zheng +1 more
TL;DR: In this paper, Hankel matrix joint approximate diagonalization (HJAD) is used to identify the modal parameters of a dam under ambient excitation, such as from an earthquake.
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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