A Bayesian inferential sensor for predicting the reactant concentration in an exothermic chemical process-Reference-Cited by-同舟云学术

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A Bayesian inferential sensor for predicting the reactant concentration in an exothermic chemical process

Published:2023-10 Issue: Volume:241 Page:104942
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Ikonen Teemu J.^ORCID,Bergman Samuli,Corona Francesco

Funder

Academy of Finland

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference47 articles.

1. Data-driven soft sensors in the process industry;Kadlec;Comput. Chem. Eng.,2009

2. Design of inferential sensors in the process industry: A review of bayesian methods;Khatibisepehr;J. Process Control,2013

3. Review of soft sensor methods for regression applications;Souza;Chemometr. Intell. Lab. Syst.,2016

4. Soft Sensors for Monitoring and Control of Industrial Processes;Fortuna,2007

5. Soft sensors for product quality monitoring in debutanizer distillation columns;Fortuna;Control Eng. Pract.,2005

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1. Virtual sensors in automated control systems for the diesel fraction hydrotreating process;Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics;2024-04-26

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