Enhanced Defect Detection in Carbon Fiber Reinforced Polymer Composites via Generative Kernel Principal Component Thermography

Increasing machine learning methods are being applied to infrared non-destructive assessment for internal defects assessment of composite materials. However, most of them extract only linear features, which is not in accord with the nonlinear characteristics of infrared data. Moreover, limited infra...

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Detalles Bibliográficos
Autores principales: Liu, Kaixin, Ma, Zhengyang, Liu, Yi, Yang, Jianguo, Yao, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962653/
https://www.ncbi.nlm.nih.gov/pubmed/33800303
http://dx.doi.org/10.3390/polym13050825

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962653/
https://www.ncbi.nlm.nih.gov/pubmed/33800303
http://dx.doi.org/10.3390/polym13050825

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