Detecting flooding state in extraction columns: Convolutional neural networks vs. a white‐box approach for image‐based soft sensor development

Computers & Chemical Engineering, vol. 164, pp. 107904

Authors 8

1. Omar S. Bayomie

   Université Paris-Saclay · CentraleSupélec

   Affiliation as printed

   Process Engineering and Materials Laboratory, CentraleSupélec, Université Paris-Saclay, Centre Européen de Biotechnologie et de Bioéconomie (CEBB), 3 rue des Rouges Terres 51110 Pomacle, France

2. Rafael Franklin Lázaro de Cerqueira corresponding

   Universidade Estadual de Campinas (UNICAMP)

   Affiliation as printed

   Center for Petroleum Studies, University of Campinas, Cora Coralina Street, 350,Campinas, São Paulo, Brazil

3. Laura Maria Neuendorf

   TU Dortmund University

   Affiliation as printed

   Department of Biochemical and Chemical Engineering, Laboratory of Equipment Design,TU Dortmund University, Emil-Figge-Strasse 68, Dortmund, 44227, Germany

4. Iwan Kornijez Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Templergraben 55, Aachen 52062, Germany

5. Samuel Kieling Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Templergraben 55, Aachen 52062, Germany

6. Tim H. Sandermann Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Templergraben 55, Aachen 52062, Germany

7. Keno Lammers

   TU Dortmund University

   Affiliation as printed

   Department of Biochemical and Chemical Engineering, Laboratory of Equipment Design,TU Dortmund University, Emil-Figge-Strasse 68, Dortmund, 44227, Germany

8. Norbert Kockmann

   TU Dortmund University

   Affiliation as printed

   Department of Biochemical and Chemical Engineering, Laboratory of Equipment Design,TU Dortmund University, Emil-Figge-Strasse 68, Dortmund, 44227, Germany