talkA. S. Behr, J. Oeing, N. Kockmann

Structured data: Key for AI based techniques from flow and process simulations to P&ID generation

Digitale Technologien in Anlagenbau, Betrieb und Service, 14.02.2023, Frankfurt am Main, Germany

talkJ. Oeing, W. Welscher, K. Brandt, N. Kockmann

Using artificial intelligence to support the engineering of piping and instrumentation diagrams: modeling & prototyping

ProcessNet Jahrestreffen Prozess-, Apparate- und Anlagentechnik 2022, 21-22112022, Frankfurt am Main, Germany

talkJ. Oeing, T. Holtermann, W. Welscher, N. Kockmann

preHAZOP: Using DEXPI P&IDs and open-source process simulation to automatically predict safety-critical plant areas

ProcessNet Jahrestreffen Prozess-, Apparate- und Anlagentechnik 2022, 21-22112022, Frankfurt am Main, Germany

journalJ. Oeing, W. Welscher, N. Krink, L. Jansen, F. Henke, N. Kockmann

Using artificial intelligence to support the drawing of piping and instrumentation diagrams using DEXPI standard

Digital Chemical Engineering, 2022, vol. 4, https://doi.org/10.1016/j.dche.2022.100038

talkJ. Oeing, W. Welscher, L. Jansen, N. Kockmann

Smart, artificial intelligence-based synthesis of piping and instrumentation diagrams (P&IDs)

ProcessNet JT PAAT, 22.-23.112021

talkL. Neuendorf, J. Oeing, W. Krieger, L. Bittorf, N. Kockmann

Artificial Intelligence in laboratories: Machine and Deep Learning based monitoring of flooding behavior in distillation and extraction columns

European Congress of Chemical Engineering, 20.-23.09.2021, Berlin, Germany

talkJ. Oeing, R. Jäkel, W. Welscher, L. Jansen, N. Kockmann

Uniform data bases as a driver for future process development (data, repositories and application examples)

European Congress of Chemical Engineering, 20.-23.09.2021, Berlin, Germany

journalM. Wiedau, G. Tolksdorf, J. Oeing, N. Kockmann

Towards a Systematic Data Harmonization to Enable AI Application in the Process Industry

Chem. Ing. Tech., 2021, https://doi.org/10.1002/cite.202100203

journalJ. Oeing, L. Neuendorf, L. Bittorf, W. Krieger, N.Kockmann

Flooding Prevention in Distillation and Extraction Columns with Aid of Machine Learning Approaches

Chem. Ing. Tech., 2021, doi: 10.1002/cite.202100051

posterJ. Oeing, W. Welscher, N. Kockmann

Artificial Intelligence supported P&ID-development

KEEN Research Project2021, http://keen-plattform.de/Aktuelles/Downloads.html

posterJ. Oeing, F. Henke, N. Kockmann

AI-supported prediction of separation processes

KEEN Research Project2021, http://keen-plattform.de/Aktuelles/Downloads.html

journalJ. Oeing, F. Henke, N. Kockmann

Machine Learning Based Suggestions of Separation Units for Process Synthesis in Process Simulation

Chem. Ing. Tech., 2021, https://doi.org/10.1002/cite.202100082

talkL. Bittorf, J. Oeing, T. Kock, M. Hoernicke, T. Holm, N. Kockmann

Modular process development in the laboratory - Plug & Research

ProcessNet Jahrestagung, 21.-24.September2020, digital

posterL. Bittorf, J. Oeing, T. Holm, S. Loepker, M. Hoernicke, K. Stark, N. Kockmann

Service oriented architecture for an automated laboratory distillation process module

JTR Prozess-, Apparate- und Anlagentechnik, 04.-05.11.2019, Dortmund