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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An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization
TL;DR: A novel empirical model is proposed that adaptively adjusts the window size for a narrow band-signal using spectrum sensing technique and results obtained not only improve the spectrogram visualization but also reduce the computation cost.
Journal ArticleDOI
Time-dependent identification of a bridge-like structure with crossing loads
Stefano Marchesiello,Safia Bedaoui,Safia Bedaoui,Luigi Garibaldi,Luigi Garibaldi,Pierre Argoul +5 more
TL;DR: This article considers the case of a slender pinned–pinned plate carrying a moving load, simulating the well-known example of a bridge crossed by vehicles or trains, and proposes two different methods to extract dynamic parameters from such a system.
Journal ArticleDOI
Identification of linear time-varying systems using a wavelet-based state-space method
TL;DR: In this paper, a wavelet-based state-space method for the identification of dynamic parameters in linear time-varying systems is presented using free vibration response data and forced vibration response.
Journal ArticleDOI
Stationary and non-stationary random vibration modelling and analysis for an operating wind turbine
TL;DR: In this article, the problem of stationary and non-stationary random vibration modelling and analysis for an operating wind turbine is considered by using an acceleration vibration signal measured on a NegMicon NM52/900 fixed speed wind a turbine tower.
Journal ArticleDOI
Data-driven and adaptive statistical residual evaluation for fault detection with an automotive application
TL;DR: In this paper, a statistical residual evaluation approach is presented to handle residuals subject to time-varying uncertainties and disturbances, which indeed are present in practice, based on an explicit comparison of the probability distribution of the residual, estimated online using current data, with a no-fault residual distribution.
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.