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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Book ChapterDOI
High-Resolution Mode Shape Identification Using Mobile Sensors
TL;DR: Until a recent breakthrough, a framework for SID using mobile sensor data sets was unavailable, since the data class is fundamentally different from fixed sensor data set.
Posted ContentDOI
Short Communication: Ambient Vibration Modal Analysis of Rock Arches using Enhanced Frequency Domain Decomposition and Covariance-driven Stochastic Subspace Identification
TL;DR: Two algorithms well-established in the field of civil engineering are investigated through application to a set of natural arches previously characterized using conventional seismological techniques, showing that these advanced techniques offer the capability to resolve closely spaced modes and provide stable damping estimates.
Journal ArticleDOI
Removal of transfer function effects from gear vibration signals under constant and variable speed conditions
TL;DR: In this paper , a method was developed to identify and remove the transfer function effects from transmission error (TE) measurements at constant speeds to reconstruct the excitations, utilising a cepstrum-based operational modal analysis (OMA) method.
Journal ArticleDOI
Dynamic investigation of a suspension footbridge using accelerometers and microwave interferometer
TL;DR: In this article, the authors present the main results of the serviceability assessment of a lively suspension footbridge using accelerometers and microwave interferometers, which indicated the exceeding of comfort criteria threshold and this result was confirmed by acceleration levels directly measured by accelerometers or derived from the (radar) displacement data.
Book ChapterDOI
Effects of Sensor Count on Damping Estimates from Operational Modal Analysis
TL;DR: In this article, the authors investigated how the damping estimates from OMA depend on the number of sensors and their locations, and compared the reference-based OMA methods using quadratic Hankel matrix, where only a few DOFs are used for calculations of the non-parametric functions (e.g. correlation functions), is compared to using the squared (full) Hankel matrices.
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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