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

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.