Markus Kley

14 papers B 14
YearRankTypeTitle / Venue / Authors
2025 B conf
Comparison of Conditional and Non-Conditional Data Augmentation Approaches with Generative Adversarial Networks: A Case Study on Bearing Fault Diagnosis.
KES
Timo König, Akash Mangaluru Ramananda, Fabian Wagner, Markus Kley, Marcus Liebschner
2025 B conf
Digital Twin of a Frequency Converter of an Asynchronous Machine for a Real Time Prediction in Stationary Operating Points Utilizing Machine Learning Methods.
KES
Lennart Kopp, Jan-Niklas Molan, Benjamin Oppold, Lukas Steidle, Markus Kley
2025 B conf
Efficient Operation Definition for Screw Compressors with Sensor Configuration and Feature Engineering Techniques.
KES
Akash Mangaluru Ramananda, Niels Ockert, Patrick Harfmann, Areeb Ansari, Holger Zinke, Tim Dahmen, Markus Kley
2025 B conf
Evaluation and Discussion of Virtual Sensor for Torque Prediction in Induction Machines under Dynamic Conditions.
KES
Lukas Steidle, Lennart Kopp, Jan-Niklas Molan, Daniel Proksch, Markus Kley
2025 B conf
Multi-Fault Diagnosis of Screw Compressors with Ensemble Learning: A Data-Driven Approach for Condition Monitoring.
KES
Akash Mangaluru Ramananda, Niels Ockert, Patrick Harfmann, Holger Zinke, Markus Kley
2025 B conf
Multi-Objective Feature Selection for Prognostics and Health Management Applications.
KES
Fabian Wagner, Akash Mangaluru Ramananda, Markus Kley, Marcus Liebschner
2024 B conf
A LSTM-GAN Algorithm for Synthetic Data Generation of Time Series Data for Condition Monitoring.
KES
Timo König, Akash Mangaluru Ramananda, Fabian Wagner, Markus Kley
2024 B conf
Evaluation of Feature Selection and Pre-Processing Techniques for Ethylene Glycol-Water Ratio Classification in Process Thermostat.
KES
Patrick Harfmann, Akash Mangaluru Ramananda, Fabian Wagner, Vishnu Murali, Lokesh Sharath Babu, Magnus Nigmann, Markus Kley
2024 B conf
Virtual Sensor Conceptualization for Rotation Speed and Torque Prediction: A Case Study of Two-Stage Reduction Gearbox.
KES
Akash Mangaluru Ramananda, Timo König, Fabian Wagner, Markus Kley
2023 B conf
A generative adversarial network-based data augmentation approach with transient vibration data.
KES
Timo König, Luca Cadau, Fabian Wagner, Markus Kley
2023 B conf
A software framework for virtual testing of a production control system.
KES
Timo König, Markus Kley
2022 B conf
Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks.
KES
Fabian Wagner, Timo König, Moritz Benninger, Markus Kley, Marcus Liebschner
2022 B conf
Improved design of experiments method for machine-learning-based modelling of gearbox efficiency in a test rig environment.
KES
Lukas Bauer, Leon Stütz, Patrick Beck, Wilhelm G. Kleppmann, Markus Kley
2021 B conf
Enhanced efficiency prediction of an electrified off-highway vehicle transmission utilizing machine learning methods.
KES
Lukas Bauer, Patrick Beck, Leon Stütz, Markus Kley