Subspace-Based Algorithms for Structural Identification, Damage Detection, and Sensor Data Fusion

Michèle Basseville 1, * Albert Benveniste 1 Maurice Goursat 2 Laurent Mevel 1
* Corresponding author
1 SISTHEM - Statistical Inference for STructural HEalth Monitoring
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
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.
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Michèle Basseville, Albert Benveniste, Maurice Goursat, Laurent Mevel. Subspace-Based Algorithms for Structural Identification, Damage Detection, and Sensor Data Fusion. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, 2007 (1), pp.069136. ⟨10.1155/2007/69136⟩. ⟨hal-00784477⟩

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