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Structural Health Monitoring
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Merging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil Structures

Étienne Balmès

LMSSMAT, Ecole Centrale Paris, Grande Voie des Vignes, 92295 Châtenay-Malabry Cedex, France

Michèle Basseville

IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France, michele.basseville{at}irisa.fr

Frédéric Bourquin

LCPC, Division for Metrology and Instrumentation, 58, bd Lefebvre, 75732 Paris Cedex 15, France

Laurent Mevel

IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France

Houssein Nasser

Université Libre de Bruxelles, Mech. Eng. and Robotics Dept, Avenue Roosevelt 50, 1050 Brussels, Belgium and Rennes 1, University at IRISA, France

Fabien Treyssède

LCPC, Division for Metrology and Instrumentation, Route de Bouaye, BP 4192, 44341 Bouguenais Cedex, France

The ambient temperature effect may result in limitations of vibration-based SHM approaches for civil engineering structures. This paper addresses the issue of discriminating changes in modal parameters due to damages and changes in modal parameters due to temperature effects. A nonparametric damage detection algorithm is proposed, which only assumes that several data sets are recorded on the safe structure at different and unknown temperatures, and smoothes out the temperature effect using an averaging operation.

Key Words: subspace identification • damage detection • sensor data fusion • vibration-based monitoring • civil engineering structures • temperature effect

This version was published on June 1, 2008

Structural Health Monitoring, Vol. 7, No. 2, 129-142 (2008)
DOI: 10.1177/1475921708089823


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