Identification of non-stationary dynamical systems using multivariate ARMA models

被引：27

作者：

Bertha, Mathieu ^{[1
]}

Golinval, Jean-Claude ^{[1
]}

机构：

[1] Univ Liege, Dept Aerosp & Mech Engn, Allee Decouverte 9, B-4000 Liege, Belgium

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2017年 / 88卷

关键词：

Time-varying systems; Modal identification; Vector auto-regressive moving average modelling; Basis functions; Moving mass problem;

D O I：

10.1016/j.ymssp.2016.11.024

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper is concerned by the modal identification of time-varying mechanical systems. Based on previous works about autoregressive moving average models in vector form (ARMAV) for the modal identification of linear time invariant systems, and time-varying autoregressive moving average models (TV-ARMA) for the identification of nonstationary systems, a time-varying ARMAV (TV-ARMAV) model is presented for the multivariate identification of time-varying systems. It results in the identification of not only the time-varying poles of the system but also of its respective time-varying mode shapes. The method is applied on a time-varying structure composed of a beam on which a mass is moving.

引用

页码：166 / 179

页数：14

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