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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |