Skip to Main content Skip to Navigation
Journal articles

An evidence-based approach to damage location on an aircraft structure

Abstract : This paper discusses the use of evidence-based classifiers for the identification of damage. In particular, a neural network approach to Dempster-Shafer theory is demonstrated on the damage location problem for an aircraft wing. The results are compared with a probabilistic classifier based on a multi-layer perceptron neural network and shown to give similar results. The question of fusing classifiers is considered and it is shown that a combination of the Dempster-Shafer and MLP classifiers gives a significant improvement over the use of individual classifiers for the aircraft wing data.
Document type :
Journal articles
Complete list of metadata

Cited literature [22 references]  Display  Hide  Download
Contributor : Thierry Denoeux Connect in order to contact the contributor
Submitted on : Wednesday, November 20, 2019 - 3:00:47 PM
Last modification on : Tuesday, November 16, 2021 - 4:30:22 AM


Files produced by the author(s)




K. Worden, G. Manson, Thierry Denoeux. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, Elsevier, 2009, 23 (6), pp.1792-1804. ⟨10.1016/j.ymssp.2008.11.003⟩. ⟨hal-00450962⟩



Les métriques sont temporairement indisponibles