Samenvatting
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.
Originele taal-2 | English |
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Titel | PROCEEDINGS OF THE 25TH MINISYMPOSIUM OF THE DEPARTMENT OF MEASUREMENT AND INFORMATION SYSTEMS BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS |
Pagina's | 16-19 |
Aantal pagina's | 4 |
Status | Published - 29 jan. 2018 |
Evenement | 25th Minisymposium of the Department of Measurement and Information Systems - Room IB019 of BME Building I, BME, Budapest, Hungary Duur: 29 jan. 2018 → … https://www.mit.bme.hu/eng/node/9857 |
Conference
Conference | 25th Minisymposium of the Department of Measurement and Information Systems |
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Land/Regio | Hungary |
Stad | Budapest |
Periode | 29/01/18 → … |
Internet adres |