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Memorias de investigación
Research Publications in journals:
Modal contribution and state space order selection in operational modal analysis
Year:2013
Research Areas
  • Engineering
Information
Abstract
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.
International
Si
JCR
Si
Title
Mechanical Systems And Signal Processing
ISBN
0888-3270
Impact factor JCR
1,824
Impact info
Datos JCR del año 2011
Volume
38
http://dx.doi.org/10.1016/j.ymssp.2013.03.001
Journal number
From page
276
To page
298
Month
JULIO
Ranking
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Estadística computacional y Modelado estocástico
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