Observatorio de I+D+i UPM

Descripción
The estimation of modal parameters of a structure from ambient measurements has attracted the attention of many researchers in the last years. The procedure is now well established and the use of state space models, stochastic system identification methods and stabilization diagrams allows to identify the modes of the structure. In this paper the contribution of each identified mode to the measured vibration is discussed. This modal contribution is computed using the Kalman filter and it is an indicator of the importance of the modes. Also the variation of the modal contribution with the order of the model is studied. This analysis suggests selecting the order for the state space model as the order that includes the modes with higher contribution. The order obtained using this method is compared to those obtained using other well known methods, like Akaike criteria for time series or the singular values of the weighted projection matrix in the Stochastic Subspace Identification method. Finally, both simulated and measured vibration data are used to show the practicability of the derived technique. Finally, it is important to remark that the method can be used with any identification method working in the state space model.
Internacional	Si
JCR del ISI	Si
Título de la revista	Mechanical Systems And Signal Processing
ISSN	0888-3270
Factor de impacto JCR	1,824
Información de impacto	Datos JCR del año 2011
Volumen	38
DOI	http://dx.doi.org/10.1016/j.ymssp.2013.03.001
Número de revista
Desde la página	276
Hasta la página	298
Mes	JULIO
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Esta actividad pertenece a memorias de investigación

• Autor: Francisco Javier Cara Cañas (UPM)
• Autor: Jesus Juan Ruiz (UPM)
• Autor: Enrique Alarcon Alvarez (UPM)
• Autor: Edwin Reynders (K.U.Leuven)
• Autor: Guido De Roeck (K.U.Leuven)

• Creador: Grupo de Investigación: Estadística computacional y Modelado estocástico