Journal ArticleDOI
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.read more
Citations
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Gray bootstrap method for estimating frequency-varying random vibration signals with small samples
TL;DR: In this paper, the Gray bootstrap method (GBM) is proposed to solve the problem of estimating frequency-varying RVS with small samples. And the result shows that GBM has superiority for estimating dynamic signals with small sample and estimated reliability is proved to be 100% at the given confidence level.
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Stochastic Modeling of Time Series with Application to Local Damage Detection in Rotating Machinery
TL;DR: In this article, a statistical modeling of vibration time series is proposed to identify the structural components of a rotating machine, such as damage related to one (or more) of its part, some noise, etc.
Journal ArticleDOI
Output-only modal parameter estimator of linear time-varying structural systems based on vector TAR model and least squares support vector machine
TL;DR: In this article, a vector time-dependent autoregressive model and least squares support vector machine based modal parameter estimator for linear time-varying structural systems in case of output-only measurements is presented.
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Gaussian Mixture Random Coefficient model based framework for SHM in structures with time–dependent dynamics under uncertainty
Journal ArticleDOI
Strain features and condition assessment of orthotropic steel deck cable-supported bridges subjected to vehicle loads by using dense FBG strain sensors
TL;DR: Wang et al. as mentioned in this paper conducted a comprehensive study of the strain features of U ribs and transverse diaphragm on an orthotropic steel deck and proposed a statistical paradigm for crack detection based on the features of vehicle-induced strain response by using the densely distributed optic fibre Bragg grating (FBG) strain sensors.
References
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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
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.