TY - JOUR
T1 - Maximum likelihood estimator of operational modal analysis for linear time-varying structures in time-frequency domain
AU - Zhou, Si Da
AU - Heylen, Ward
AU - Sas, Paul
AU - Liu, Li
PY - 2014/5/26
Y1 - 2014/5/26
N2 - This paper investigates the problem of modal parameter estimation of time-varying structures under unknown excitation. A time-frequency-domain maximum likelihood estimator of modal parameters for linear time-varying structures is presented by adapting the frequency-domain maximum likelihood estimator to the time-frequency domain. The proposed estimator is parametric, that is, the linear time-varying structures are represented by a time-dependent common-denominator model. To adapt the existing frequency-domain estimator for time-invariant structures to the time-frequency methods for time-varying cases, an orthogonal polynomial and z-domain mapping hybrid basis function is presented, which has the advantageous numerical condition and with which it is convenient to calculate the modal parameters. A series of numerical examples have evaluated and illustrated the performance of the proposed maximum likelihood estimator, and a group of laboratory experiments has further validated the proposed estimator.
AB - This paper investigates the problem of modal parameter estimation of time-varying structures under unknown excitation. A time-frequency-domain maximum likelihood estimator of modal parameters for linear time-varying structures is presented by adapting the frequency-domain maximum likelihood estimator to the time-frequency domain. The proposed estimator is parametric, that is, the linear time-varying structures are represented by a time-dependent common-denominator model. To adapt the existing frequency-domain estimator for time-invariant structures to the time-frequency methods for time-varying cases, an orthogonal polynomial and z-domain mapping hybrid basis function is presented, which has the advantageous numerical condition and with which it is convenient to calculate the modal parameters. A series of numerical examples have evaluated and illustrated the performance of the proposed maximum likelihood estimator, and a group of laboratory experiments has further validated the proposed estimator.
UR - http://www.scopus.com/inward/record.url?scp=84896712323&partnerID=8YFLogxK
U2 - 10.1016/j.jsv.2014.02.001
DO - 10.1016/j.jsv.2014.02.001
M3 - Article
AN - SCOPUS:84896712323
SN - 0022-460X
VL - 333
SP - 2339
EP - 2358
JO - Journal of Sound and Vibration
JF - Journal of Sound and Vibration
IS - 11
ER -