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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Journal ArticleDOI
Estimation of neuronal activity and brain dynamics using a dual kalman filter with physiologycal based linear model
TL;DR: A dynamic estimation of neuronal activity and brain dynamics from electroencephalographic (EEG) signals is presented using a dual Kalman filter and the dynamic model for brain behavior is evaluated using physiological-based linear models.
Journal ArticleDOI
Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes.
TL;DR: In this paper, the authors presented a model of the signal which describes vibrations of the sieving screen, which is used in the mining industry for the classification of ore pieces in the material stream by size.
Proceedings ArticleDOI
Utilization of strong motion data for damage assessment of reinforced concrete bridges
Reza Baghaei,Maria Q. Feng +1 more
TL;DR: The meaningful agreement between the stiffness correction factors identified from both types of motions at the same damage state of the bridge demonstrates that the proposed procedure can effectively be applied for post-earthquake damage assessment of the bridges from nonlinear responses during high amplitude earthquakes.
Proceedings ArticleDOI
Reduction of irrelevant and redundant data from TFRs for EEG signal classification
Luis David Avendaño-Valencia,Juan David Martínez-Vargas,Eduardo Giraldo,G. Castellanos-Domingue +3 more
TL;DR: The proposed methodology for reduction of irrelevant and redundant data is explored and improves the performance of classifier up to 3% when no relevance and redundancy on TFRs is reduced.
Journal ArticleDOI
Prediction of Modal Parameters of Linear Time-Varying Systems
TL;DR: In this article, it was shown that linear time-varying (LTV) systems violate one of the assumptions of the conventional modal analysis, which is stationarity.
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
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.