Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals

Ultrasound based structural health monitoring of piezoelectric material is challenging if a damage changes at a microscale over time. Classifying geometrically similar damages with a difference in diameter as small as 100 [Formula: see text] m is difficult using conventional sensing and signal analy...

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Detalles Bibliográficos
Autores principales: Tripathi, Gaurav, Anowarul, Habib, Agarwal, Krishna, Prasad, Dilip K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806247/
https://www.ncbi.nlm.nih.gov/pubmed/31569337
http://dx.doi.org/10.3390/s19194216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806247/
https://www.ncbi.nlm.nih.gov/pubmed/31569337
http://dx.doi.org/10.3390/s19194216

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