Using the EM algorithm to estimate the state space model for OMAX

Cara Cañas, Francisco Javier and Juan Ruiz, Jesús and Alarcón Álvarez, Enrique (2014). Using the EM algorithm to estimate the state space model for OMAX. In: "26th International Conference on Noise and Vibration engineering (ISMA2014)", 15/09/2014-17/09/2014, Leuven (Bélgica).

Description

Title: Using the EM algorithm to estimate the state space model for OMAX
Author/s:
  • Cara Cañas, Francisco Javier
  • Juan Ruiz, Jesús
  • Alarcón Álvarez, Enrique
Item Type: Presentation at Congress or Conference (Article)
Event Title: 26th International Conference on Noise and Vibration engineering (ISMA2014)
Event Dates: 15/09/2014-17/09/2014
Event Location: Leuven (Bélgica)
Title of Book: 26th International Conference on Noise and Vibration engineering (ISMA2014)
Date: 2014
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents a time-domain stochastic system identification method based on Maximum Likelihood Estimation and the Expectation Maximization algorithm that is applied to the estimation of modal parameters from system input and output data. The effectiveness of this structural identification method is evaluated through numerical simulation. Modal parameters (eigenfrequencies, damping ratios and mode shapes) of the simulated structure are estimated applying the proposed identification method to a set of 100 simulated cases. The numerical results show that the proposed method estimates the modal parameters with precision in the presence of 20% measurement noise even. Finally, advantages and disadvantages of the method have been discussed.

More information

Item ID: 32700
DC Identifier: http://oa.upm.es/32700/
OAI Identifier: oai:oa.upm.es:32700
Official URL: http://www.isma-isaac.be/past/conf/isma2014/
Deposited by: Biblioteca ETSI Industriales
Deposited on: 11 Nov 2014 15:34
Last Modified: 14 Nov 2014 13:37
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