Non-stationary random vibration modelling and analysis via functional series time-dependent ARMA (FS-TARMA) models – A critical survey

• Published in: Mechanical systems and signal processing Vol. 47; no. 1-2; pp. 175 - 224
• Main Authors: Spiridonakos, M.D., Fassois, S.D.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 03.08.2014
• Subjects: Computer simulation; Evolution; Functional series models; Identification methods; Mechanical systems; Modelling; Monte Carlo methods; Non-stationary random vibration; Random vibration; System identification; Time-dependent ARMA models; Time-varying structural systems; Time–frequency analysis; Non-stationary random vibration; Functional series models; Time–frequency analysis; System identification; Time-varying structural systems; Time-dependent ARMA models

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 presented. FS-TARMA models feature deterministic parameter evolution and have been shown to effectively represent non-sta...