Methoden und Werkzeuge zur Ertüchtigung bestehender Anlagen zu Cyber-Physischen Systemen

View Statistics Email Alert RSS Feed

Primary Data

Project Acronym Projekt Kurzbezeichnung
DEEPEN
 
Project Title (de) Projekttitel (de)
Methoden und Werkzeuge zur Ertüchtigung bestehender Anlagen zu Cyber-Physischen Systemen
 
Project Title (en) Projekttitel (en)
Data based expert system for process efficiency
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
Pipelife International GmbH
Grant number Förderkennnummer
891247
 

Publications

Results 1-5 of 5 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Hartner-2025-IEEE Access-vor.pdf.jpgHartner, Raphael ; Kozek, Martin ; Jakubek, Stefan End-to-end process optimization in polymer extrusion lines using model predictive control and multi-task learningArticle Artikel 24-Sep-2025
2Hartner, Raphael ; Kozek, Martin ; Jakubek, Stefan Multi-task learning with state propagation for quality forecasts in polymer extrusion linesArticle Artikel Apr-2025
3Hartner, Raphael ; Kozek, Martin ; Jakubek, Stefan ; Zittmayr, Florian Semi-Supervised Learning based on Mass Conservation to improve Quality Predictions in a Polymer Pipe Production ProcessInproceedings Konferenzbeitrag 26-Mar-2025
4Hartner, Raphael ; Kozek, Martin ; Jakubek, Stefan Addressing multi-step inverse heat transfer problems via reduced order models in a cooling process for polymer pipes with sparse measurementsArticle Artikel 15-Dec-2024
5Hartner, Raphael ; Kozek, Martin ; Jakubek, Stefan ; Mayer, Barbara Gradient Boosting Regression Trees for Nonlinear Delay Identification in a Polymer Extrusion ProcessInproceedings Konferenzbeitrag 25-Jan-2023