Soft Sensing of LPG Processes Using Deep Learning

This study investigates the integration of soft sensors and deep learning in the oil-refinery industry to improve monitoring efficiency and predictive accuracy in complex industrial processes, particularly de-ethanization and debutanization. Soft sensor models were developed to estimate critical var...

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Detalles Bibliográficos
Autores principales: Sifakis, Nikolaos, Sarantinoudis, Nikolaos, Tsinarakis, George, Politis, Christos, Arampatzis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534704/
https://www.ncbi.nlm.nih.gov/pubmed/37765914
http://dx.doi.org/10.3390/s23187858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534704/
https://www.ncbi.nlm.nih.gov/pubmed/37765914
http://dx.doi.org/10.3390/s23187858

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