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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Lin, Lin, Lisen, Yao, Xulong, Zhang, Yanbo, Tao, Zhigang, Ling, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610656/
https://www.ncbi.nlm.nih.gov/pubmed/37896608
http://dx.doi.org/10.3390/s23208513

Ejemplares similares