Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. - Oliver Wallscheid; Wilhelm Kirchgässner; Joachim Böcker (IJCNN, 2017)

Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. - Wilhelm Kirchgässner; Oliver Wallscheid; Joachim Böcker (ISIE, 2019)

Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. - Arne Traue; Gerrit Book; Wilhelm Kirchgässner; Oliver Wallscheid (CoRR, 2019)

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. - Wilhelm Kirchgässner; Oliver Wallscheid; Joachim Böcker (CoRR, 2020)

Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. - Maximilian Schenke; Wilhelm Kirchgässner; Oliver Wallscheid (IEEE Trans. Ind. Informatics, 2020)

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. - Praneeth Balakrishna; Gerrit Book; Wilhelm Kirchgässner; Maximilian Schenke; Arne Traue; Oliver Wallscheid (J. Open Source Softw., 2021)

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. - Arne Traue; Gerrit Book; Wilhelm Kirchgässner; Oliver Wallscheid (IEEE Trans. Neural Networks Learn. Syst., 2022)

Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material). - Maximilian Schenke; Wilhelm Kirchgässner; Oliver Wallscheid (IEEE DataPort, 2022)

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. - Wilhelm Kirchgässner; Oliver Wallscheid; Joachim Böcker (Eng. Appl. Artif. Intell., 2023)

HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores. - Wilhelm Kirchgässner; Nikolas Förster; Till Piepenbrock; Oliver Schweins; Oliver Wallscheid (CoRR, 2024)

Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning (Datengetriebene thermische Modellierung eines Permanentmagnet-Synchronomotors mittels maschinellem Lernen) - Wilhelm Kirchgässner (2024)