Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Recent advances in efficient variance computation of modal parameter estimates from the output-only subspace-based identification algorithms make the modal parameter variance a practical modal indicator, indicating the accuracy of the estimation. A further modal indicator is the Modal Assurance Criterion (MAC), for which a recently developed uncertainty quantification scheme estimates the variance at a fixed model order. The Modal Phase Collinearity (MPC) is another popular indicator, for which an uncertainty scheme is currently missing. Unlike other modal parameters, which are Gaussian distributed, estimates of MAC and MPC are close to the border of their respective distribution support and cannot be approximated as a Gaussian random variable. This paper addresses the respective uncertainty quantification of MAC and MPC. The results are validated in the context of operational modal analysis (OMA) of a spring mass system.
Originalsprog | Engelsk |
---|---|
Titel | 8th IOMAC - International Operational Modal Analysis Conference, Proceedings |
Redaktører | Sandro D. R. Amador, Rune Brincker, Evangelos I. Katsanos, Manuel Lopez Aenlle, Pelayo Fernandez |
Antal sider | 9 |
Forlag | International Operational Modal Analysis Conference (IOMAC) |
Udgivelsesår | 2019 |
Sider | 525-533 |
ISBN (Elektronisk) | 9788409049004 |
Status | Udgivet - 2019 |
Begivenhed | 8th International Operational Modal Analysis Conference, IOMAC 2019 - Copengahen, Danmark Varighed: 13 maj 2019 → 15 maj 2019 |
Konference | 8th International Operational Modal Analysis Conference, IOMAC 2019 |
---|---|
Land | Danmark |
By | Copengahen |
Periode | 13/05/2019 → 15/05/2019 |
Sponsor | Bruel and Kjaer, Gfai Tech, Siemens, Structural Vibration Solutions |
Serietitel | 8th IOMAC - International Operational Modal Analysis Conference, Proceedings |
---|
Publisher Copyright:
© 2019 International Group of Operational Modal Analysis.
Se relationer på Aarhus Universitet Citationsformater
ID: 274416039