| 2025 | KES | Comparison of Conditional and Non-Conditional Data Augmentation Approaches with Generative Adversarial Networks: A Case Study on Bearing Fault Diagnosis. | Timo Knig, Akash Mangaluru Ramananda, Fabian Wagner, Markus Kley, Marcus Liebschner |
| 2025 | KES | Digital Twin of a Frequency Converter of an Asynchronous Machine for a Real Time Prediction in Stationary Operating Points Utilizing Machine Learning Methods. | Lennart Kopp, Jan-Niklas Molan, Benjamin Oppold, Lukas Steidle, Markus Kley |
| 2025 | KES | Efficient Operation Definition for Screw Compressors with Sensor Configuration and Feature Engineering Techniques. | Akash Mangaluru Ramananda, Niels Ockert, Patrick Harfmann, Areeb Ansari, Holger Zinke, Tim Dahmen, Markus Kley |
| 2025 | KES | Multi-Fault Diagnosis of Screw Compressors with Ensemble Learning: A Data-Driven Approach for Condition Monitoring. | Akash Mangaluru Ramananda, Niels Ockert, Patrick Harfmann, Holger Zinke, Markus Kley |
| 2025 | KES | Evaluation and Discussion of Virtual Sensor for Torque Prediction in Induction Machines under Dynamic Conditions. | Lukas Steidle, Lennart Kopp, Jan-Niklas Molan, Daniel Proksch, Markus Kley |
| 2025 | KES | Multi-Objective Feature Selection for Prognostics and Health Management Applications. | Fabian Wagner, Akash Mangaluru Ramananda, Markus Kley, Marcus Liebschner |
| 2024 | KES | 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 |
| 2024 | KES | A LSTM-GAN Algorithm for Synthetic Data Generation of Time Series Data for Condition Monitoring. | Timo Knig, Akash Mangaluru Ramananda, Fabian Wagner, Markus Kley |
| 2024 | KES | Virtual Sensor Conceptualization for Rotation Speed and Torque Prediction: A Case Study of Two-Stage Reduction Gearbox. | Akash Mangaluru Ramananda, Timo Knig, Fabian Wagner, Markus Kley |
| 2023 | KES | A generative adversarial network-based data augmentation approach with transient vibration data. | Timo Knig, Luca Cadau, Fabian Wagner, Markus Kley |
| 2023 | KES | A software framework for virtual testing of a production control system. | Timo Knig, Markus Kley |
| 2022 | KES | Improved design of experiments method for machine-learning-based modelling of gearbox efficiency in a test rig environment. | Lukas Bauer, Leon Sttz, Patrick Beck, Wilhelm G. Kleppmann, Markus Kley |
| 2022 | KES | Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks. | Fabian Wagner, Timo Knig, Moritz Benninger, Markus Kley, Marcus Liebschner |
| 2021 | KES | Enhanced efficiency prediction of an electrified off-highway vehicle transmission utilizing machine learning methods. | Lukas Bauer, Patrick Beck, Leon Sttz, Markus Kley |