Forschungsschwerpunkt: Simulation von Energiesystemen

  • Simulation des Energieverbrauchs von Produktionsmaschinen, Peripherie und Produktionssystemen
  • Datenbasierte Systemidentifikation
  • Machine Learning zur Verbesserung von klassischen Modellierungsansätzen im Energiebereich
  • Effiziente, sensorreduzierte Mess- und Überwachungskonzepte
  • Nonintrusive Load Monitoring an industriellen Anlagen
  • Condition und Process Monitoring mittels Energie- und Maschinendaten

Studentische Arbeiten, ADPs, Forschungsseminare, Hiwi-Stellen

Veröffentlichungen und Vorträge

Jump to: 2019 | 2018
Number of items: 10.

2019

Czwick, Cordula and Kugler, Stefan and Fischer, Julia and Sossenheimer, Johannes and Weyand, Astrid and Schreiber, Markus and Urnauer, Christian and Bausch, Philipp and Hartmann, Lukas and Anderl, Reiner and Schebek, Liselotte and Metternich, Joachim (2019):
ArePron - Ressourceneffiziente Produktion durch Digitalisierung.
Darmstadt, In: Symposium Digitalisierung im Produktlebenszyklus, TU Darmstadt, Fachgebiet DiK, 26.09.2019, [Conference or Workshop Item]

Flum, Dominik and Sossenheimer, Johannes and Stück, Christian and Abele, Eberhard
Armendia, Mikel and Ghassempouri, Mani and Ozturk, Erdem and Peysson, Flavien (eds.) (2019):
Towards Energy-Efficient Machine Tools Through the Development of the Twin-Control Energy Efficiency Module.
In: Twin-Control, A Digital Twin Approach to Improve Machine Tools Lifecycle, Springer, Cham, pp. 95-110, DOI: 10.1007/978-3-030-02203-7,
[Online-Edition: https://doi.org/10.1007/978-3-030-02203-7],
[Book Section]

Sossenheimer, Johannes and Weber, Thomas and Flum, Dominik and Panten, Niklas and Abele, Eberhard and Fuertjes, Tobias
Armendia, Mikel and Ghassempouri, Mani and Ozturk, Erdem and Peysson, Flavien (eds.) (2019):
Non-intrusive Load Monitoring on Component Level of a Machine Tool Using a Kalman Filter-Based Disaggregation Approach.
In: Twin-Control, A Digital Twin Approach to Improve Machine Tools Lifecycle, Springer, Cham, pp. 155-165, [Online-Edition: https://doi.org/10.1007/978-3-030-02203-7],
[Book Section]

Sossenheimer, Johannes and Bauerdick, Christoph and Helfert, Mark and Petruschke, Lars and Abele, Eberhard
Armendia, Mikel and Ghassempouri, Mani and Ozturk, Erdem and Peysson, Flavien (eds.) (2019):
Utilizing PLC Data for Workpiece Flaw Detection in Machine Tools.
In: Twin-Control, A Digital Twin Approach to Improve Machine Tools Lifecycle, Springer, Cham, pp. 167-179, [Online-Edition: https://doi.org/10.1007/978-3-030-02203-7],
[Book Section]

Armendia, Mikel and Ghassempouri, Mani and Selmi, Jaouher and Berglind, Luke and Sossenheimer, Johannes and Flum, Dominik and Peysson, Flavien and Fuertjes, Tobias and Plakhotnik, Denys
Armendia, Mikel and Ghassempouri, Mani and Ozturk, Erdem and Peysson, Flavien (eds.) (2019):
Twin-Control Evaluation in Industrial Environment: Automotive Case.
In: Twin-Control, A Digital Twin Approach to Improve Machine Tools Lifecycle, Springer, Cham, pp. 237-260, [Online-Edition: https://doi.org/10.1007/978-3-030-02203-7],
[Book Section]

Sossenheimer, Johannes and Walther, Jessica and Fleddermann, Jan and Abele, Eberhard (2019):
A Sensor Reduced Machine Learning Approach for Condition-based Energy Monitoring for Machine Tools.
In: Procedia CIRP, 52nd CIRP Conference on Manufacturing Systems, Ljubljana (Slovenia), Elsevier B.V., pp. 570-575, 81, DOI: 10.1016/j.procir.2019.03.157,
[Article]

Weber, Thomas and Sossenheimer, Johannes and Schäfer, Steffen and Ott, Moritz and Walther, Jessica and Abele, Eberhard (2019):
Machine Learning based System Identification Tool for data-based Energy and Resource Modeling and Simulation.
In: Procedia CIRP, 26th CIRP Conference on Life Cycle Engineering (LCE) Purdue University, West Lafayette, IN (USA), Elsevier B.V., pp. 683-688, 80, DOI: 10.1016/j.procir.2018.12.021,
[Article]

2018

Bauerdick, Christoph and Helfert, Mark and Petruschke, Lars and Sossenheimer, Johannes and Abele, Eberhard (2018):
An Automated Procedure for Workpiece Quality Monitoring Based on Machine Drive-Based Signals in Machine Tools.
In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., pp. 526-532, 72, ISSN 2212-8271,
DOI: 10.1016/j.procir.2018.03.245,
[Online-Edition: https://doi.org/10.1016/j.procir.2018.03.245],
[Article]

Panten, Niklas and Strobel, Nina and Sossenheimer, Johannes and Abele, Eberhard (2018):
Framework for an Energy Efficient and Flexible Automation Strategy and Control Optimization Approach of Supply Systems within a Thermally-Linked Factory.
In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., pp. 526-532, 72, ISSN 2212-8271,
[Online-Edition: https://doi.org/10.1016/j.procir.2018.03.238],
[Article]

Abele, Eberhard and Weber, Thomas and Flum, Dominik and Panten, Niklas and Sossenheimer, Johannes and Fuertjes, Tobias (2018):
A Kalman-Filter-Based Disaggregation Approach for Sensor Reduced Energy Monitoring on Component Level of Machine Tools.
In: Proceedings, 14th International Conference on High Speed Machining, San Sebastian (Spain), [Article]

This list was generated on Mon Oct 14 04:29:50 2019 CEST.
Johannes Sossenheimer
Wissenschaftlicher Mitarbeiter in der Forschungsgruppe Umweltgerechte Produktion
Picture: PTW