Johannes Sossenheimer

A Sensor Reduced Machine Learning Approach for Condition-based Energy Monitoring for Machine Tools

Johannes Sossenheimer, Jessica Walther, Jan Fleddermann et al. · Procedia CIRP · 2019 · 20 citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +17

Machine Learning based System Identification Tool for data-based Energy and Resource Modeling and Simulation

Thomas Weber, Johannes Sossenheimer, Steffen Schäfer et al. · Procedia CIRP · 2019 · 19 citations · Full text

Engineering, Computer Science, Design Optimization +14

Method to increase resource efficiency in production with the use of MFCA

Astrid Weyand, Carmen Rommel, Julia Zeulner et al. · Procedia CIRP · 2021 · 12 citations · Full text

Management, Manufacturing Engineering, Operations Management +17

Framework for an Energy Efficient and Flexible Automation Strategy and Control Optimization Approach of Supply Systems within a Thermally-Linked Factory

Niklas Panten, Nina Strobel, Johannes Sossenheimer et al. · Procedia CIRP · 2018 · 10 citations · Full text

Engineering, Building Science, Mechanical Engineering +17

Hybrid virtual metering points – a low-cost, near real-time energy and resource flow monitoring approach for production machines without PLC data connection

Johannes Sossenheimer, Oliver Vetter, Thomas Stahl et al. · Procedia CIRP · 2021 · 10 citations · Full text

Engineering, Computer Science, Industrial Engineering +17