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Automated modal analysis based on frequency response function estimates

Vahid Yaghoubi (Institutionen för tillämpad mekanik, Dynamik) ; Thomas Abrahamsson (Institutionen för tillämpad mekanik, Dynamik)
Conference Proceedings of the Society for Experimental Mechanics Series. 30th IMAC, A Conference on Structural Dynamics, Jacksonville, 30 January-2 February 2012 (2191-5644). Vol. 5 (2012), p. 9-18.
[Konferensbidrag, refereegranskat]

Given measured data as estimated frequency responses of a quasi-linear system, there is a variety of system identification methods that identify a state-space model that gives good correlation to the data. Such methods are the N4SID and the PolyMAX methods. Using these methods, a key problem is to select the proper model order. In this work we investigate a method for the automatic detection of proper model order. The method is based on the statistical evaluation of an ensemble of state-space models all identified from the same basic set of frequency response functions, but with different realizations based on a bootstrapping scheme. We apply the method to real test data.

Nyckelord: Automatic Detection, Bootstrapping scheme, Frequency response functions, Good correlations, PolyMAX method, Proper models, Quasilinear system, State-space models, Statistical evaluation, System identification methods, Test data, Linear systems, Modal analysis, Structural dynamics, Frequency response



Denna post skapades 2012-09-18. Senast ändrad 2014-09-02.
CPL Pubid: 163508

 

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Institutionen för tillämpad mekanik, Dynamik

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