Maschinen und Systeme Fabian Mauthe, B.Sc., M.Sc.

• Prognostics and Health Management (PHM)
• Condition monitoring and diagnosis of technical systems
• Condition prognosis of technical systems
• Degradation data sets

By arrangement

• since April 2020: Research assistant at the faculty of Mechanical and Systems Engineering
• August 2019: Master of Science degree in Advanced Precision Engineering - Mechanical Engineering at Furtwangen University
• August 2017: Bachelor of Science degree in Mechanical Engineering and Mechatronics at Furtwangen University

Mauthe, F.; Hagmeyer, S.; Zeiler, P. (2025): Holistic Simulation Model of the Temporal Degradation of Rolling Bearings. Proceedings of the 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference, 15.06. – 19.06.2025, Stavanger, Norway, DOI: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8028-cd

Mauthe, F.; Steinmann, L.; Neu, M.; Zeiler, P. (2025): Overview and Analysis of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management. Proceedings of the 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference, 15.06. – 19.06.2025, Stavanger, Norway, DOI: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P7412-cd

Braig, M.; Mauthe, F.; Zeiler, P. (2025): A Study on the Use of Simulation Data for Data-Driven Fault Diagnosis of Various Rolling Bearings Using Transfer Learning. Proceedings of the 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference, 15.06. – 19.06.2025, Stavanger, Norway, DOI: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8201-cd

Mauthe, F.; Braun, C.; Raible, J.; Zeiler, P.; Huber, M. F. (2024): Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management. Available online at: http://arxiv.org/abs/2403.13694

Zöller, M.-A.; Mauthe, F.; Zeiler, P.; Lindauer, M.; Huber, M. F. (2023): Automated Machine Learning for Remaining Useful Life Predictions. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 01.10.-04.10.23, Honolulu, Hawaii, USA, DOI: 10.1109/SMC53992.2023.10394031 

Mauthe, F.; Braig, M.; Zeiler, P. (2022): Performance Evaluation of Neural Network Architectures on Time Series Condition Data for Remaining Useful Life Prognosis Under Defined Operating Conditions. Proceedings of the 32nd European Safety and Reliability Conference, 28.08. – 01.09.2022, Dublin, Ireland, DOI: 10.3850/978-981-18-5183-4_R16-05-140-cd

Hagmeyer, S.; Mauthe, F.; Zeiler, P. (2021): Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications. International Journal of Prognostics and Health Management, Volume 12, Issue 2, DOI: 10.36001/ijphm.2021.v12i2.3087

Degradation Data Sets

Braig, M.; Mauthe, F.; Hagmeyer, S.; Zeiler, P. (2025): “Similar System Data Set for Condition Prognosis”,  Hochschule Esslingen - University of Applied Sciences: Institute for Technical Reliability and Prognostics (IZP), Göppingen, Germany, DOI: 10.34740/kaggle/dsv/11807814, https://www.kaggle.com/datasets/prognosticshse/similar-system-data-set-for-condition-prognosis

Mauthe, F.; Hagmeyer, S.; Zeiler, P. (2025): “Bearings with Varying Degradation Behaviors”, Hochschule Esslingen - University of Applied Sciences: Institute for Technical Reliability and Prognostics (IZP), Göppingen, Germany, DOI: 10.34740/kaggle/ds/6534156, https://www.kaggle.com/datasets/prognosticshse/bearings-with-varying-degradation-behaviors

Mauthe, F.; Bakir, E. M.; Scheerer, T.; Zeiler, P. (2022): “Prognosis based on Varying Data Quality”, Hochschule Esslingen - University of Applied Sciences: Research Department Reliability Engineering and Prognostics and Health Management, Göppingen, Germany, DOI: 10.34740/kaggle/dsv/3814464, https://www.kaggle.com/datasets/prognosticshse/prognosis-based-on-varying-data-quality

Mauthe, F.; Schmid, J.; Zeiler, P. (2022): “Condition Data with Random Recording Time”, Hochschule Esslingen - University of Applied Sciences: Research Department Reliability Engineering and Prognostics and Health Management, Göppingen, Germany, DOI: 10.34740/kaggle/dsv/3774868, https://www.kaggle.com/datasets/prognosticshse/condition-data-with-random-recording-time

Hagmeyer, S.; Mauthe, F.; Dutt, M.; Zeiler, P (2021): “Preventive to Predictive Maintenance Dataset”, Hochschule Esslingen - University of Applied Sciences: Research Department Reliability Engineering and Prognostics and Health Management, Göppingen, Germany, DOI: 10.34740/kaggle/dsv/3183137, https://www.kaggle.com/datasets/prognosticshse/preventive-to-predicitve-maintenance

• Institute for Technical Reliability and Prognostics (IZP), Prof. Dr.-Ing. Peter Zeiler
• Research project Prognostics (MWK)
• Research project TheoMation (DFG)