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Merging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil StructuresLMSSMAT, Ecole Centrale Paris, Grande Voie des Vignes, 92295 Châtenay-Malabry Cedex, France
IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France, michele.basseville{at}irisa.fr
LCPC, Division for Metrology and Instrumentation, 58, bd Lefebvre, 75732 Paris Cedex 15, France
IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France
Université Libre de Bruxelles, Mech. Eng. and Robotics Dept, Avenue Roosevelt 50, 1050 Brussels, Belgium and Rennes 1, University at IRISA, France
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) |
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