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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...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6806247/ https://ncbi.nlm.nih.gov/pubmed/31569337 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19194216 |
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