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Beam Damage Assessment Using Natural Frequency Shift and Machine Learning
Damage detection based on modal parameter changes has become popular in the last few decades. Nowadays, there are robust and reliable mathematical relations available to predict natural frequency changes if damage parameters are known. Using these relations, it is possible to create databases contai...
Autores principales: | Gillich, Nicoleta, Tufisi, Cristian, Sacarea, Christian, Rusu, Catalin V., Gillich, Gilbert-Rainer, Praisach, Zeno-Iosif, Ardeljan, Mario |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839218/ https://www.ncbi.nlm.nih.gov/pubmed/35161863 http://dx.doi.org/10.3390/s22031118 |
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