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Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison

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TLDR
A critical survey and comparison ofparametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization confirms the advantages and high performance characteristics of parametric methods.
About
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-05-01. It has received 246 citations till now. The article focuses on the topics: Parametric statistics & Random vibration.

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Recent advances in data-driven dynamics and control

TL;DR: In this article, the authors introduce some recent research work by their group in structural optimization, active vibration control, system identification, fault diagnosis and prognosis, and state identification of heart rate variability signal, by using data-driven methods.
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Iterative reference-driven S-transform time-varying parameter identification for bridges under moving vehicle

TL;DR: The numerical and experimental results have demonstrated that the proposed reference-driven S-transform method is useful for time-varying parameter extraction with a multisensory system, useful to structural condition monitoring of bridges.
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Modeling and joint estimation of glottal source and vocal tract filter by state-space methods

TL;DR: In this work, state-space methods are investigated to enhance the joint estimation of the glottal source and the vocal tract information, and an inverse filtering method is developed that allows to jointly estimate both glottAl source and vocal tract filter.
Journal ArticleDOI

Operational modal analysis of a liquid-filled cylindrical structure with decreasing filling mass by multivariate stochastic parameter evolution methods

TL;DR: In this article, an operational modal analysis of variable mass structures based on vector response measurements is considered, and a laboratory liquid-filled cylindrical structure with decreasing filling mass is built and analyzed by using the conventional frozen configuration technique and non-parametric time-frequency analysis method.
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A novel time-domain representation of transmissibility and its applications on operational modal analysis in the presence of non-white stochastic excitations

TL;DR: Numerical and laboratory examples show that the proposed two methods eliminate the leakage errors thoroughly and window function selection problem, showing higher accuracy and lower sensitivity to short response data than the existing frequency-domain methods.
References
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Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
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.