Poles tracking of weakly nonlinear structures using a Bayesian smoothing method

被引：6

作者：

Stephan, Cyrille ^{[1
]}

Festjens, Hugo ^{[2
]}

Renaud, Franck ^{[2
]}

Dion, Jean-Luc ^{[2
]}

机构：

[1] Off Natl Etud & Rech Aerosp, F-92322 Chatillon, France

[2] SUPMECA St Ouen, St Ouen, France

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2017年 / 84卷

关键词：

Modal testing; Frequency; Damping; Identification; Unscented Kalman filter; Expectation-Maximization algorithm; HILBERT TRANSFORM; IDENTIFICATION; PARAMETERS; TIME;

D O I：

10.1016/j.ymssp.2015.05.028

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper describes a method for the identification and the tracking of poles of a weakly nonlinear structure from its free responses. This method is based on a model of multichannel damped sines whose parameters evolve over time. Their variations are approximated in discrete time by a nonlinear state space model. States are estimated by an iterative process which couples a two-pass Bayesian smoother with an Expectation Maximization (EM) algorithm. The method is applied on numerical and experimental cases. As a result, accurate frequency and damping estimates are obtained as a function of amplitude. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：136 / 151

页数：16

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