Message-passing sequential detection of multiple structural damages Liao, Yizheng; Rajagopal, Ram
This paper introduces a multiple structural damage detection algorithm for structural health monitoring. We propose a sequential damage detection algorithm that uses the Bayesian inferences to diagnose multiple damages and their relationships. The proposed algorithm is purely data driven and does not require the prior knowledge of the structural properties. The sequential detectors are implemented by a computationally efficient message passing protocol that enables distributed and simultaneous damage detection. Also, the detectors achieve minimum detection delay with a desired false alarm rate. The performances of our algorithm are validated on the ASCE benchmark structure.
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