Research Project

Project Title Interactive Data Selection and Feature Extraction from Small Amounts of Data Interaktive Datenauswahl und Merkmalsextraktion aus kleinen Datenmengen Project ID CGC20210601 (KEEN AP 5.4) https://simulate365.com/cgc20210601 Goals Configuration of a process control system with low data volumes and PFDs. Configuration of PFDs with PCS data. Product(s) To be determined Results Surrogate models for configuring

Project Title Identification of Coupled Boundary Conditions and Operating Envelopes Identifikation gekoppelter Randbedingungen und Betriebshüllen Project ID CGC20200701 (KEEN AP 5.3) https://simulate365.com/cgc20200701 Goals Better use of nonlinear operation regime and Reduction of false alarms Product(s) To be determined Results Identification of independent input parameters Partners ABB Evonik Merck TUD-P2O-Lab Capital-Gain Consultants Funding BMWi Duration 1

Project Title Hybrid AI Models for the Process Industry Hybride KI-Modelle für die Prozessindustrie Project ID CGC20200401 (KEEN TP4) https://simulate365.com/cgc20200401 Goals Develop AI models and embed AI models into process optimization to increase agility, transparency, and acceptance Product(s) To be determined Results Data for the development of AI models Machine Learning models GUI for selecting