Temperature prediction using multivariate time series deep learning in the lining of an electric arc furnace for ferronickel production
JX Leon-Medina, J Camacho, C Gutierrez-Osorio… - Sensors, 2021 - mdpi.com
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 …
ones used in smelting processes is a great decision tool that allows knowing the behavior of …
Monitoring of the refractory lining in a shielded electric arc furnace: An online multitarget regression trees approach
JX Leon‐Medina, J Camacho‐Olarte… - … Control and Health …, 2022 - Wiley Online Library
Being able to predict future temperatures on the wall lining is key when controlling and
scheduling maintenance for large industrial smelting furnaces. In this paper, we propose …
scheduling maintenance for large industrial smelting furnaces. In this paper, we propose …
Deep learning for the prediction of temperature time series in the lining of an electric arc furnace for structural health monitoring at Cerro Matoso (CMSA)
JX Leon-Medina, RCG Vargas… - Engineering …, 2020 - mdpi.com
Cerro Matoso SA (CMSA) is located in Montelibano, Colombia. It is one of the biggest
producers of ferronickel in the world. The structural health monitoring process performed in …
producers of ferronickel in the world. The structural health monitoring process performed in …
Detección y Aislamiento de Fallas en una Red de Termopares Mediante Técnicas Basadas en Datos
DA Velandia Cardenas - repositorio.unal.edu.co
En el presente documento se explica el proceso de desarrollo de un modelo para detección
y aislamiento de fallos (FDI) en una red de termopares mediante técnicas basadas en datos …
y aislamiento de fallos (FDI) en una red de termopares mediante técnicas basadas en datos …