Hybrid Models for Efficient Control, Optimization, and Monitoring of Thermo-Chemical Processes and Plants

Hybrid Models for Efficient Control, Optimization, and Monitoring of Thermo-Chemical Processes and Plants

This paper describes a procedure and an IT product that combine numerical models, expert knowledge, and data-based models through artificial intelligence (AI)-based hybrid models to enable the integrated control, optimization, and monitoring of processes and plants. The working principle of the hybr...

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Bibliographic Details
Main Authors: Thomas Freudenmann, Hans-Joachim Gehrmann, Krasimir Aleksandrov, Mohanad El-Haji, Dieter Stapf
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Processes
Subjects:
numerical model
oscillating combustion
NO<sub>x</sub> reduction
artificial intelligence (AI)
Online Access:https://www.mdpi.com/2227-9717/9/3/515

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