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
Empirical Validation of Bayesian Dynamic Linear Models in the Context of Structural Health Monitoring
James-A. Goulet,Ki Koo +1 more
TL;DR: This paper performs an empirical validation of BDLMs in the context of applied statistics and machine learning of Bayesian dynamic linear models.
Journal ArticleDOI
Modal parameters identification of power transformer winding based on improved Empirical Mode Decomposition method
TL;DR: In this article, an improved empirical mode decomposition (EMD) algorithm is proposed to identify the modal parameters of transformer winding with obtained experiment data, which shows better accuracy in the identification of damping ratio.
Journal ArticleDOI
Seismic safety assessment of historical structures using updated numerical models: The case of Mallorca cathedral in Spain
TL;DR: In this article, the authors present an integrated approach aimed at assessing the seismic safety of Mallorca cathedral using Ambient Vibration Testing (AVT) and non-linear static analysis.
Journal ArticleDOI
Synthesizing spatiotemporally sparse smartphone sensor data for bridge modal identification
Ekin Ozer,Maria Q. Feng +1 more
TL;DR: Results show that the spatiotemporally sparse mobile WSN data can be used to infer modal parameters despite non-overlapping sensor operation schedule, and is tested on a pedestrian bridge and compared with a conventional reference monitoring system.
Proceedings ArticleDOI
Estimating the electromechanical oscillation characteristics of power system based on measured ambient data utilizing stochastic subspace method
Ni Jingmin,Shen Chen,Liu Feng +2 more
TL;DR: In this article, a stochastic subspace method was proposed to estimate low-frequency oscillation modes and the corresponding mode shapes based on ambient data from WAMS measurements, which greatly reduced the computational efficiency.
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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