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

Yuequan Bao; Hui Li; Jinping Ou

doi:10.1117/12.775621

16 April 2008 A Dempster-Shafer evidence theory-based approach for online structural health monitoring

Yuequan Bao, Hui Li, Jinping Ou

Proceedings Volume 6935, Health Monitoring of Structural and Biological Systems 2008; 69351T (2008) https://doi.org/10.1117/12.775621
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

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.

Citation Download Citation

Yuequan Bao, Hui Li, and Jinping Ou "A Dempster-Shafer evidence theory-based approach for online structural health monitoring", Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69351T (16 April 2008); https://doi.org/10.1117/12.775621

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