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Proceedings Paper

A Dempster-Shafer evidence theory-based approach for online structural health monitoring
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Paper Abstract

In this paper, a Dempster-Shafer evidence theory based approach for structural health monitoring is presented. Firstly, Bayesian method is employed to calculate the damage probabilities of substructures using each data set measured from the monitored structure, and the damage probabilities of substructures are transformed to damage basic probability assessments which used in evidence theory. Then the Dempster-Shafer evidence theory is employed to combine the individual damage basic probability assessments for getting the last damage detection results. With considering multi-sensors data including acceleration and strain, and measurement noise the numerical studies on a 14-bay planar rigid frame structure are carried out. The results indicate that the damage detection results obtained by combining the damage basic probability assessments from each test data are improved compared with the individual results obtained just by each test data separately.

Paper Details

Date Published: 16 April 2008
PDF: 10 pages
Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69351T (16 April 2008); doi: 10.1117/12.775621
Show Author Affiliations
Yuequan Bao, Harbin Institute of Technology (China)
Hui Li, Harbin Institute of Technology (China)
Jinping Ou, Harbin Institute of Technology (China)
Dalian Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6935:
Health Monitoring of Structural and Biological Systems 2008
Tribikram Kundu, Editor(s)

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