Semi-Supervised Bayesian Classification of Materials with Impact-Echo Signals

The detection and identification of internal defects in a material require the use of some technology that translates the hidden interior damages into observable signals with different signature-defect correspondences. We apply impact-echo techniques for this purpose. The materials are classified ac...

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Detalles Bibliográficos
Autores principales: Igual, Jorge, Salazar, Addisson, Safont, Gonzalo, Vergara, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481956/
https://www.ncbi.nlm.nih.gov/pubmed/25996512
http://dx.doi.org/10.3390/s150511528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481956/
https://www.ncbi.nlm.nih.gov/pubmed/25996512
http://dx.doi.org/10.3390/s150511528

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