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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

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