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**Harvard**

Yaghoubi, V., Khorsand Vakilzadeh, M. och Abrahamsson, T. (2012) *Application of an automated modal analysis based on frequency response function estimates*. Heverlee : Katholieke Univ Leuven, Dept Werktuigkunde

** BibTeX **

@conference{

Yaghoubi2012,

author={Yaghoubi, Vahid and Khorsand Vakilzadeh, Majid and Abrahamsson, Thomas},

title={Application of an automated modal analysis based on frequency response function estimates},

booktitle={25th International Conference on Noise and Vibration engineering, ISMA2012 in conjunction with the 4th International Conference on Uncertainty in Structural Dynamics, USD 2012; Leuven; Belgium; 17 September 2012 through 19 September 2012},

isbn={978-90-73802-89-6},

pages={2145-2155},

abstract={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. An Automated Modal Analysis was developed in our group to find the proper model order. This 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. In this work, we made that method more robust and applied it to two real test data sets.},

publisher={Katholieke Univ Leuven, Dept Werktuigkunde},

place={Heverlee},

year={2012},

note={2145-2155},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 181333

A1 Yaghoubi, Vahid

A1 Khorsand Vakilzadeh, Majid

A1 Abrahamsson, Thomas

T1 Application of an automated modal analysis based on frequency response function estimates

YR 2012

T2 25th International Conference on Noise and Vibration engineering, ISMA2012 in conjunction with the 4th International Conference on Uncertainty in Structural Dynamics, USD 2012; Leuven; Belgium; 17 September 2012 through 19 September 2012

SN 978-90-73802-89-6

SP 2145

OP 2155

AB 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. An Automated Modal Analysis was developed in our group to find the proper model order. This 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. In this work, we made that method more robust and applied it to two real test data sets.

PB Katholieke Univ Leuven, Dept Werktuigkunde

LA eng

OL 30