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Using the EM algorithm to estimate the state space model for OMAX
Cita
Cara Cañas, Francisco Javier 
ORCID: https://orcid.org/0000-0002-1543-3066, Juan Ruiz, Jesús ORCID: https://orcid.org/0000-0003-2000-9013 and Alarcón Álvarez, Enrique ORCID: https://orcid.org/0000-0001-6538-7814
(2014).
Using the EM algorithm to estimate the state space model
for OMAX.
En: "26th International Conference on Noise and Vibration engineering (ISMA2014)", 15/09/2014-17/09/2014, Leuven (Bélgica).
ORCID: https://orcid.org/0000-0002-1543-3066, Juan Ruiz, Jesús ORCID: https://orcid.org/0000-0003-2000-9013 and Alarcón Álvarez, Enrique ORCID: https://orcid.org/0000-0001-6538-7814
(2014).
Using the EM algorithm to estimate the state space model
for OMAX.
En: "26th International Conference on Noise and Vibration engineering (ISMA2014)", 15/09/2014-17/09/2014, Leuven (Bélgica).
Descripción
| Título: | Using the EM algorithm to estimate the state space model for OMAX |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 26th International Conference on Noise and Vibration engineering (ISMA2014) |
| Fechas del Evento: | 15/09/2014-17/09/2014 |
| Lugar del Evento: | Leuven (Bélgica) |
| Título del Libro: | 26th International Conference on Noise and Vibration engineering (ISMA2014) |
| Fecha: | 2014 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Ingeniería de Organización, Administración de Empresas y Estadística |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 32700 |
|---|---|
| Identificador DC: | https://oa.upm.es/32700/ |
| Identificador OAI: | oai:oa.upm.es:32700 |
| URL Oficial: | http://www.isma-isaac.be/past/conf/isma2014/ |
| Depositado por: | Biblioteca ETSI Industriales |
| Depositado el: | 11 Nov 2014 15:34 |
| Ultima Modificación: | 14 Nov 2014 13:37 |
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