Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production

The analysis of data from sensors in structures subjected to extreme conditions such as the ones used in smelting processes is a great decision tool that allows knowing the behavior of the structure under different operational conditions. In this industry, the furnaces and the different elements are...

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Detalles Bibliográficos
Autores principales: Leon-Medina, Jersson X., Camacho, Jaiber, Gutierrez-Osorio, Camilo, Salomón, Julián Esteban, Rueda, Bernardo, Vargas, Whilmar, Sofrony, Jorge, Restrepo-Calle, Felipe, Pedraza, Cesar, Tibaduiza, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541558/
https://www.ncbi.nlm.nih.gov/pubmed/34696106
http://dx.doi.org/10.3390/s21206894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541558/
https://www.ncbi.nlm.nih.gov/pubmed/34696106
http://dx.doi.org/10.3390/s21206894

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