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Variance computation of MAC and MPC for real-valued mode shapes from the stabilization diagram

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  • Szymon Gres
  • Michael Döhler, Institut National de Recherche en Informatique et en Automatique
  • ,
  • Palle Andersen, Structural Vibration Solutions A/S
  • ,
  • Laurent Meve, Institut National de Recherche en Informatique et en Automatique

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.

OriginalsprogEngelsk
Titel8th IOMAC - International Operational Modal Analysis Conference, Proceedings
RedaktørerSandro D. R. Amador, Rune Brincker, Evangelos I. Katsanos, Manuel Lopez Aenlle, Pelayo Fernandez
Antal sider9
ForlagInternational Operational Modal Analysis Conference (IOMAC)
Udgivelsesår2019
Sider525-533
ISBN (Elektronisk)9788409049004
StatusUdgivet - 2019
Begivenhed8th International Operational Modal Analysis Conference, IOMAC 2019 - Copengahen, Danmark
Varighed: 13 maj 201915 maj 2019

Konference

Konference8th International Operational Modal Analysis Conference, IOMAC 2019
LandDanmark
ByCopengahen
Periode13/05/201915/05/2019
SponsorBruel and Kjaer, Gfai Tech, Siemens, Structural Vibration Solutions
Serietitel8th IOMAC - International Operational Modal Analysis Conference, Proceedings

Bibliografisk note

Publisher Copyright:
© 2019 International Group of Operational Modal Analysis.

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