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
System Identification of Physiological Systems Using Short Data Segments
Daniel Ludvig,Eric J. Perreault +1 more
TL;DR: A novel algorithm is developed that uses multiple short data segments for the identification of physiological systems that vary with time or from which only short segments of stationary data can be collected and generates time-varying system estimates with lower total error than an ensemble method.
Journal ArticleDOI
Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier
Te Han,Dongxiang Jiang +1 more
TL;DR: Analysis results show that this method based on VMD-AR model can extract fault features accurately and RF classifier has been proved to outperform comparative classifiers.
Journal ArticleDOI
Wavelet-based modal analysis for time-variant systems
TL;DR: In this paper, a wavelet-based Frequency Response Function (FRF) was used to estimate all three modal parameters, i.e. natural frequencies, damping and mode shapes.
Dissertation
On Structural Health Monitoring in Changing Environmental and Operational Conditions
TL;DR: In this paper, a baseline for the Tamar Bridge that represents the normal undamaged condition of the structure is provided, and a solution to the problem based on the econometric theory of cointegration is introduced.
Journal ArticleDOI
Human - robot collision detection and identification based on fuzzy and time series modelling
TL;DR: Two methods are proposed and implemented for collision detection between the robot and a human based on fuzzy identification and time series modelling that are able to detect the occurrence of a collision, the link that collided and to some extent the magnitude of the collision without using the explicit model of the robot.
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.