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An Application Example of Regularization: Time-varying Operational Modal Analysis
Book Contribution - Book Chapter Conference Contribution
This paper presents an efficient nonparametric
time-varying time domain system identification method for the
Operational Modal Analysis (OMA) framework. OMA tackles industrial measurements of vibrating structures in real-life operating conditions without the exact knowledge of the excitation signal. In this work a method is provided to estimate the time-varying output autocorrelation function of vibrating structures and applied to a measurement of wind tunnel testing of an airplane. Using the proposed methodology, the estimated time-varying two-dimensional output autocorrelation model provides a good data-fit with respect to tracking of varying resonances.
time-varying time domain system identification method for the
Operational Modal Analysis (OMA) framework. OMA tackles industrial measurements of vibrating structures in real-life operating conditions without the exact knowledge of the excitation signal. In this work a method is provided to estimate the time-varying output autocorrelation function of vibrating structures and applied to a measurement of wind tunnel testing of an airplane. Using the proposed methodology, the estimated time-varying two-dimensional output autocorrelation model provides a good data-fit with respect to tracking of varying resonances.
Book: PROCEEDINGS OF THE 25TH MINISYMPOSIUM OF THE DEPARTMENT OF MEASUREMENT AND INFORMATION SYSTEMS BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS
Pages: 16-19
Number of pages: 4
Publication year:2018