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. © The Society for Experimental Mechanics, Inc. 2012.
CITATION STYLE
Yaghoubi, V., & Abrahamsson, T. (2012). Automated modal analysis based on frequency response function estimates. In Conference Proceedings of the Society for Experimental Mechanics Series (Vol. 5, pp. 9–18). https://doi.org/10.1007/978-1-4614-2425-3_2
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