Subspace-based algorithms for structural identification, damage detection, and sensor data fusion

Authors:
Michèle Basseville;Albert Benveniste;Maurice Goursat;Laurent Mevel
Affiliations:
IRISA, Campus Universitaire de Beaulieu, Rennes Cedex, France and CNRS, Campus Universitaire de Beaulieu, Rennes Cedex, France;IRISA, Campus Universitaire de Beaulieu, Rennes Cedex, France and INRIA, Campus Universitaire de Beaulieu, Rennes Cedex, France;INRIA, Domaine de Voluceau Rocquencourt, Le Chesnay Cedex, France;IRISA, Campus Universitaire de Beaulieu, Rennes Cedex, France and INRIA, Campus Universitaire de Beaulieu, Rennes Cedex, France
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2007

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Abstract

This paper reports on the theory and practice of covariance-driven output-only and input/output subspace-based identification and detection algorithms. The motivating and investigated application domain is vibration-based structural analysis and health monitoring of mechanical, civil, and aeronautic structures.