Automated modal analysis based on frequency response function estimates
Paper in proceeding, 2012
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.
Good correlations
Test data
Frequency response functions
State-space models
Bootstrapping scheme
Frequency response
Linear systems
Quasilinear system
System identification methods
Statistical evaluation
PolyMAX method
Structural dynamics
Modal analysis
Proper models
Automatic Detection
Author
Vahid Yaghoubi Nasrabadi
Chalmers, Applied Mechanics, Dynamics
Thomas Abrahamsson
Chalmers, Applied Mechanics, Dynamics
Conference Proceedings of the Society for Experimental Mechanics Series. 30th IMAC, A Conference on Structural Dynamics, Jacksonville, 30 January-2 February 2012
2191-5652 (eISSN)
Vol. 5 9-18978-146142424-6 (ISBN)
Subject Categories (SSIF 2011)
Mechanical Engineering
DOI
10.1007/978-1-4614-2425-3_2
ISBN
978-146142424-6