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Hankel matrix normalization for robust damage detection

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

  • Szymon Gres
  • Michael Döhler, Institut National de Recherche en Informatique et en Automatique
    • ,
  • Palle Andersen, Structural Vibration Solutions A/S
    • ,
  • Lars Damkilde, Aalborg Universitet
    • ,
  • Laurent Mevel, Institut National de Recherche en Informatique et en Automatique

In the context of detecting changes in structural systems, multiple vibration-based damage detection methods have been proposed and successfully applied to both mechanical and civil structures over the past years. One of the popular schemes is based on a robust subspace-based residual and enjoys favorable statistical and computational properties, like invariance to changes in the excitation covariance and numerical stability. This paper presents an alternative Gaussian residual that is based on the difference of normalized Hankel matrices between reference and damaged states, which can be easily computed. The statistical properties of the residual are reported and used for efficient hypothesis testing. Its robustness to excitation changes is shown. The proposed scheme is evaluated in numerical simulations, validating its robustness, and tested on real data sets from a full scale bridge.

OriginalsprogEngelsk
Titel8th IOMAC - International Operational Modal Analysis Conference, Proceedings
RedaktørerSandro D. R. Amador, Rune Brincker, Evangelos I. Katsanos, Manuel Lopez Aenlle, Pelayo Fernandez
Antal sider8
ForlagInternational Operational Modal Analysis Conference (IOMAC)
Udgivelsesår2019
Sider147-154
ISBN (Elektronisk)9788409049004
StatusUdgivet - 2019
Begivenhed8th International Operational Modal Analysis Conference, IOMAC 2019 - Copengahen, Danmark
Varighed: 13 maj 2019 → 15 maj 2019

Konference

Konference8th International Operational Modal Analysis Conference, IOMAC 2019
LandDanmark
ByCopengahen
Periode13/05/2019 → 15/05/2019
SponsorBruel and Kjaer, Gfai Tech, Siemens, Structural Vibration Solutions
Serietitel8th IOMAC - International Operational Modal Analysis Conference, Proceedings

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