Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Machine Learning Supports Robust Operation of Thermosiphon Reboilers
The analysis of process and equipment operational data in chemical engineering regularly requires a high level of expert knowledge. This work presents a Machine Learning‐based approach to evaluate and interpret process data to support robust operation of a thermosiphon reboiler. By applying an outlier detection, potentially interesting and unstable operating conditions can be identified quickly. A multidimensional regression allows to forecast the circulating mass flow. The results obtained fit well into the current state of research and manual evaluation of thermosiphon reboilers.
Machine Learning Supports Robust Operation of Thermosiphon Reboilers
The analysis of process and equipment operational data in chemical engineering regularly requires a high level of expert knowledge. This work presents a Machine Learning‐based approach to evaluate and interpret process data to support robust operation of a thermosiphon reboiler. By applying an outlier detection, potentially interesting and unstable operating conditions can be identified quickly. A multidimensional regression allows to forecast the circulating mass flow. The results obtained fit well into the current state of research and manual evaluation of thermosiphon reboilers.
Machine Learning Supports Robust Operation of Thermosiphon Reboilers
Appelhaus, David (Autor:in) / Lu, Yan (Autor:in) / Schenkendorf, René (Autor:in) / Scholl, Stephan (Autor:in) / Jasch, Katharina (Autor:in)
Chemie Ingenieur Technik ; 93 ; 1976-1986
01.12.2021
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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