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Abstract
This paper presents an efficient nonparametric time-varying (TV) system identification method combined with mode tracking for Operational Modal Analysis (OMA). OMA is a special identification technique for estimating the modal properties of structures based on vibration data collected under real operating conditions and without having access to the excitation signals. The time-varying aspect refers to cases where the structural dynamic behavior changes as a function of time; e.g. due to changes in mass (fuel burn during launch; people filling a football stadium structure) or environmental conditions and interactions (temperature changes; aerodynamic forces causing flutter).
In this work a regularized time domain TV OMA method is presented to estimate the linear TV output autocorrelation function of the observed system. In a second step, parametric identification will be applied to track the modal parameters of the time-varying system. The method is illustrated using wind tunnel measurement on an airplane (component) model.
In this work a regularized time domain TV OMA method is presented to estimate the linear TV output autocorrelation function of the observed system. In a second step, parametric identification will be applied to track the modal parameters of the time-varying system. The method is illustrated using wind tunnel measurement on an airplane (component) model.
Original language | English |
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Title of host publication | IOMAC 2019 INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE |
Pages | 511-523 |
Number of pages | 13 |
ISBN (Electronic) | 9788409049004 |
Publication status | Published - 13 May 2019 |
Event | IOMAC 2019 INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE - Copenhagen, Denmark Duration: 13 May 2019 → 15 Aug 2019 |
Publication series
Name | 8th IOMAC - International Operational Modal Analysis Conference, Proceedings |
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Conference
Conference | IOMAC 2019 INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE |
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Abbreviated title | IOMAC |
Country/Territory | Denmark |
Period | 13/05/19 → 15/08/19 |
Fingerprint
Dive into the research topics of 'TRACKING THE MODAL PARAMETERS OF TIME-VARYING STRUCTURES BY REGULARIZED NONPARAMETRIC ESTIMATION AND OPERATIONAL MODAL ANALYSIS'. Together they form a unique fingerprint.Projects
- 1 Finished
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SRP60: SRP-Groeifinanciering: A system identification framework for multi-fidelity modelling
De Troyer, T., Runacres, M., Blondeau, J., Bram, S., Bellemans, A. & Contino, F.
1/03/19 → 29/02/24
Project: Fundamental