scispace - formally typeset
Journal ArticleDOI

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

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
More filters

Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine

TL;DR: First evidence that a windowed autoregressive model may be used to detect the shock after it occurred is shown, and the windowed AR estimation algorithm seems to perform better than the adaptive one.
Journal ArticleDOI

Robust early detection of hunting on railway vehicles: single-sensor based methods and critical comparisons

TL;DR: In this paper , two single-sensor "dynamics-based" methods employing adaptive recursive auto-regressive (RAR) modelling of the car-body lateral random vibration signal are postulated.

Basis Function Selection Criterion for Modal Monitoring of Non Stationary Systems

TL;DR: This paper introduces a criterion called Basis Function Selection Criterion which is based on the minimization of the difference between the model parameters estimated by two methods, namely FS-VTAR and the classic stationary VAR.
Journal ArticleDOI

An Extended Modal Identification for Linear Periodically Time-Varying Systems Based on Stability-Preserving State Transformation

TL;DR: In this article, an extended modal identification method was proposed to extract the time-varying modes and poles of linear periodically time changing (LPTV) systems, where a set of poles defines a stability-preserving transformation relat ing the original LPTV state equation to a constant upper triangular state equation.
Posted Content

Parameter Estimation via Fokker-Planck Type Residual: Application to Linear Stationary Random Vibration

TL;DR: In this article, the authors proposed a new method that is useful for estimating unknown parameter values of stochastic differential equation (SDE) models, based on probability density function (PDF) data measured from random dynamical systems.
References
More filters
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.