Enhanced efficiency prediction of an electrified off-highway vehicle transmission utilizing machine learning methods. - Lukas Bauer; Patrick Beck; Leon Stütz; Markus Kley (KES, 2021)

Improved design of experiments method for machine-learning-based modelling of gearbox efficiency in a test rig environment. - Lukas Bauer; Leon Stütz; Patrick Beck; Wilhelm G. Kleppmann; Markus Kley (KES, 2022)

Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks. - Fabian Wagner; Timo König; Moritz Benninger; Markus Kley; Marcus Liebschner (KES, 2022)

A generative adversarial network-based data augmentation approach with transient vibration data. - Timo König; Luca Cadau; Fabian Wagner; Markus Kley (KES, 2023)

A software framework for virtual testing of a production control system. - Timo König; Markus Kley (KES, 2023)

Evaluation of Feature Selection and Pre-Processing Techniques for Ethylene Glycol-Water Ratio Classification in Process Thermostat. - Patrick Harfmann; Akash Mangaluru Ramananda; Fabian Wagner; Vishnu Murali; Lokesh Sharath Babu; Magnus Nigmann; Markus Kley (KES, 2024)

A LSTM-GAN Algorithm for Synthetic Data Generation of Time Series Data for Condition Monitoring. - Timo König; Akash Mangaluru Ramananda; Fabian Wagner; Markus Kley (KES, 2024)

Virtual Sensor Conceptualization for Rotation Speed and Torque Prediction: A Case Study of Two-Stage Reduction Gearbox. - Akash Mangaluru Ramananda; Timo König; Fabian Wagner; Markus Kley (KES, 2024)