Unexpected Event Prediction in Wire Electrical Discharge Machining Using Deep Learning Techniques

Theoretical models of manufacturing processes provide a valuable insight into physical phenomena but their application to practical industrial situations is sometimes difficult. In the context of Industry 4.0, artificial intelligence techniques can provide efficient solutions to actual manufacturing...

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Detalles Bibliográficos
Autores principales: Sanchez, Jose A., Conde, Aintzane, Arriandiaga, Ander, Wang, Jun, Plaza, Soraya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073871/
https://www.ncbi.nlm.nih.gov/pubmed/29958394
http://dx.doi.org/10.3390/ma11071100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073871/
https://www.ncbi.nlm.nih.gov/pubmed/29958394
http://dx.doi.org/10.3390/ma11071100

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