Parametric time-domain methods for non-stationary random vibration modelling and analysis—a critical survey and comparison
A critical survey and comparison of parametric time-domain methods for non-stationary
random vibration modelling and analysis based upon a single vibration signal realization is …
random vibration modelling and analysis based upon a single vibration signal realization is …
[PDF][PDF] Techniques to obtain good resolution and concentrated time-frequency distributions: a review
We present a review of the diversity of concepts and motivations for improving the
concentration and resolution of timefrequencydistributions (TFDs) along the individual …
concentration and resolution of timefrequencydistributions (TFDs) along the individual …
[KSIĄŻKA][B] Time-frequency/time-scale analysis
P Flandrin - 1998 - books.google.com
This highly acclaimed work has so far been available only in French. It is a detailed survey of
a variety of techniques for time-frequency/time-scale analysis (the essence of" Wavelet …
a variety of techniques for time-frequency/time-scale analysis (the essence of" Wavelet …
Non-stationary random vibration modelling and analysis via functional series time-dependent ARMA (FS-TARMA) models–A critical survey
MD Spiridonakos, SD Fassois - Mechanical Systems and Signal …, 2014 - Elsevier
A critical overview of non-stationary random vibration modelling and analysis via the class of
Functional Series Time-dependent AutoRegressive Moving Average (FS-TARMA) models is …
Functional Series Time-dependent AutoRegressive Moving Average (FS-TARMA) models is …
Wavelet-based frequency response function for time-variant systems—An exploratory study
WJ Staszewski, DM Wallace - Mechanical Systems and Signal Processing, 2014 - Elsevier
A wavelet-based Frequency Response Function (FRF) is proposed for vibration analysis of
systems with time-varying parameters. The classical FRF is extended to a representation in …
systems with time-varying parameters. The classical FRF is extended to a representation in …
Output-only stochastic identification of a time-varying structure via functional series TARMA models
The problem of output-only stochastic identification of a Time-Varying (TV) laboratory
structure is considered for the first time via a Functional Series Time-Dependent …
structure is considered for the first time via a Functional Series Time-Dependent …
Some aspects of non-stationary signal processing with emphasis on time-frequency and time-scale methods
P Flandrin - Wavelets: Time-frequency methods and phase space, 1989 - Springer
The analysis and the processing of nonstationary signals call for specific tools which go
beyond Fourier analysis. This paper is intended to review most of the Signal Processing …
beyond Fourier analysis. This paper is intended to review most of the Signal Processing …
Output-only identification and dynamic analysis of time-varying mechanical structures under random excitation: A comparative assessment of parametric methods
MD Spiridonakos, AG Poulimenos… - Journal of Sound and …, 2010 - Elsevier
This article addresses the problem of parametric time-domain identification and dynamic
analysis for time-varying (TV) mechanical structures under unobservable random excitation …
analysis for time-varying (TV) mechanical structures under unobservable random excitation …
Non-stationary functional series TARMA vibration modelling and analysis in a planar manipulator
KA Petsounis, SD Fassois - Journal of Sound and Vibration, 2000 - Elsevier
The problem of non-stationary stochastic vibration modelling and analysis is considered
through a paradigm involving vibration analysis in a periodically varying manipulator. A …
through a paradigm involving vibration analysis in a periodically varying manipulator. A …
Time-frequency ARMA models and parameter estimators for underspread nonstationary random processes
Parsimonious parametric models for nonstationary random processes are useful in many
applications. Here, we consider a nonstationary extension of the classical autoregressive …
applications. Here, we consider a nonstationary extension of the classical autoregressive …