@inproceedings{e1d2bf0ef83d4b5db625e3574393a01b,
title = "A Dempster-Shafer evidence theory-based approach for on-line structural health monitoring",
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 multisensors 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.",
keywords = "Dempster-Shafer evidence theory, Modal strain, Structural damage detection, Uncertainty",
author = "Yuequan Bao and Hui Li and Jinping Ou",
year = "2008",
doi = "10.1117/12.775621",
language = "英语",
isbn = "9780819471215",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Health Monitoring of Structural and Biological Systems 2008",
note = "Health Monitoring of Structural and Biological Systems 2008 ; Conference date: 10-03-2008 Through 13-03-2008",
}