| 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 | 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 | 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 |