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Message-passing sequential detection of multiple structural damages

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

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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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076231

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/