2021
DOI: 10.3390/app112411790
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Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring

Abstract: Refineries execute a series of interlinked processes, where the product of one unit serves as the input to another process. Potential failures within these processes affect the quality of the end products, operational efficiency, and revenue of the entire refinery. In this context, implementation of a real-time cognitive module, referring to predictive machine learning models, enables the provision of equipment state monitoring services and the generation of decision-making for equipment operations. In this pa… Show more

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Cited by 5 publications
(1 citation statement)
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“…temperature, pressure and reboiler flow. More details on the used machine learning models can be found in [43], [44].…”
Section: Simulation and Resultsmentioning
confidence: 99%
“…temperature, pressure and reboiler flow. More details on the used machine learning models can be found in [43], [44].…”
Section: Simulation and Resultsmentioning
confidence: 99%