期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 38, 期 2, 页码 276-298出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2013.03.001
关键词
Structural dynamics; Operational modal analysis; Stochastic system identification; Kalman filtering; State space model order; Stabilization diagram
资金
- Ayudas del Consejo Social de la Universidad Politecnica de Madrid a la Formacion de Doctorandos, curso
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. (C) 2013 Elsevier Ltd. All rights reserved.
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