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Real-Time Recognition Method for Key Signals of Rock Fracture Acoustic Emissions Based on Deep Learning
The characteristics of acoustic emission signals generated in the process of rock deformation and fission contain rich information on internal rock damage. The use of acoustic emissions monitoring technology can analyze and identify the precursor information of rock failure. At present, in the field...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610656/ https://www.ncbi.nlm.nih.gov/pubmed/37896608 http://dx.doi.org/10.3390/s23208513 |