Estimation of modal parameters and their uncertainty bounds from subspace-based system identification

Michael Döhler 1, * Falk Hille 2 Laurent Mevel 1 Werner Rücker 2
* Auteur correspondant
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : Operational Modal Analysis of existing structures is performed using output only vibration measurements. To evaluate the quality of the resulting modal parameters (natural frequencies, damping ratios, mode shapes) from system identification it is essential to know their statistical uncertainty content. An innovative and efficient algorithm to estimate the modal parameters and their uncertainties from subspace-based system identification has been developed. Applications to output only measurements have been demonstrated on the S101 Bridge case.
Type de document :
Chapitre d'ouvrage
Margit Klocker. IRIS Industrial Safety and Life Cycle Engineering - Technologies / Standards / Applications, VCE, pp.91-106, 2013, 978-3-200-03179-1
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https://hal.inria.fr/hal-00953267
Contributeur : Michael Döhler <>
Soumis le : vendredi 28 février 2014 - 11:12:17
Dernière modification le : mercredi 11 avril 2018 - 02:00:31

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  • HAL Id : hal-00953267, version 1

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Michael Döhler, Falk Hille, Laurent Mevel, Werner Rücker. Estimation of modal parameters and their uncertainty bounds from subspace-based system identification. Margit Klocker. IRIS Industrial Safety and Life Cycle Engineering - Technologies / Standards / Applications, VCE, pp.91-106, 2013, 978-3-200-03179-1. 〈hal-00953267〉

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