scispace - formally typeset
Journal ArticleDOI

Reference-based stochastic subspace identification for output-only modal analysis

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.

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Citations
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Journal ArticleDOI

Deep principal component analysis: An enhanced approach for structural damage identification:

TL;DR: The experimental results demonstrate that capturing the most slight nonlinear variations in the data can lead to improved data normalization and, consequently, better damage detection and quantification performances.
Journal ArticleDOI

Numerical and experimental evaluation of the dynamic performance of a footbridge with tuned mass dampers

TL;DR: In this article, the authors evaluated the structural response of a footbridge with two tuned mass dampers and found that the damping devices lead to an increase of the effective damping ratio of the critical mode.
Journal ArticleDOI

Subspace-based algorithms for structural identification, damage detection, and sensor data fusion

TL;DR: This paper reports on the theory and practice of covariance-driven output-only and input/output subspace-based identification and detection algorithms for vibration-based structural analysis and health monitoring of mechanical, civil, and aeronautic structures.
Journal ArticleDOI

Dynamic identification of a masonry façade from seismic response data based on an elementary Ordinary Least Squares approach

TL;DR: In this article, a low magnitude seismic response of a historical masonry structure, the Santa Maria di Collemaggio basilica, was acquired by a complex monitoring system, where ten FBA accelerometers, nine placed on the basilica facade and one on the ground level, recorded respectively the base accelerogram (Input) and the structural response (Output).
Journal ArticleDOI

In-Flight Vibration Monitoring of Aeronautical Structures

TL;DR: In this paper, a combination of ground vibration tests and in-flight tests is used for this purpose, and various sensor data are recorded, typically from accelerometers, based on these data, the aircraft dynamics are identified through modal analysis or structural identification.
References
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Book

System Identification: Theory for the User

Lennart Ljung
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

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, +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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