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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Book ChapterDOI

Operational Modal Analysis of Y25 Bogie via Stochastic Subspace Identification for the Condition Monitoring of Primary Suspension Systems

TL;DR: A potential method, which can achieve online CM of railway vehicle primary suspension, denoted as Average Correlation Signals based Stochastic Subspace Identification (ACS-SSI) was explored through simulation and experimental studies and it can draw the conclusion that ACS- SSI has the potential to achieve suspension online monitoring.
Journal ArticleDOI

A New Composite Bridge: Feasibility Validation and Vibration Monitoring

TL;DR: In this article, the feasibility study of a new structure for a 10m-span bridge deck, taking into account the possibilities offered by new and high-strength materials and the advantages of a traditional environmental-friendly material, is presented.
Book ChapterDOI

Uncertainty Quantification for Force Identification and Response Estimation in Structural Dynamics

TL;DR: A novel approach for quantification of the estimation uncertainty introduced by measurement noise and unmodeled excitation is presented and the estimated quantities can be used to design a sensor network and to determine the optimal noise statistics that are applied for joint input-state estimation.
Journal ArticleDOI

Robust multi-dataset identification with frequency domain decomposition

TL;DR: Two new merging approaches are proposed to scale the different mode shape parts of the Frequency Domain Decomposition identification technique, and a real-live application example is presented as the last part of the paper.
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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