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

• Prognostics and Health Management (PHM)
• Zustandsüberwachung und -diagnose technischer Systeme
• Zustandsprognose von technischen Systemen
• Degradationsdatensätze

Nach Absprache

• seit April 2020: Wissenschaftlicher Mitarbeiter an der Fakultät Maschinen und Systeme (bis 02/2021 Mechatronik und Elektrotechnik)
• August 2019: Abschluss als Master of Science Advanced Precision Engineering – Maschinenbau an der Hochschule Furtwangen
• August 2017: Abschluss als Bachelor of Science Maschinenbau und Mechatronik an der Hochschule Furtwangen

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 

Tagungsbeiträge

Mauthe, F.; Hagmeyer, S.; Zeiler, P. (2025): Ganzheitliches Modell für die Simulation der Degradation von Wälzlagern. 32. Fachtagung Technische Zuverlässigkeit 2025, 09.-10.04.2025, Nürtingen, VDI-Berichte 2448, ISBN: 978-3-18-092448-9

Mauthe, F.; Braig, M.; Zeiler, P. (2023): Evaluierung der Güte von datengetriebenen Methoden zur Lebensdauerprognose technischer Systeme unter Berücksichtigung von Zeitreihencharakteristiken. 31. Fachtagung Technische Zuverlässigkeit 2023, 26.-27.04.2023, Nürtingen, VDI-Berichte 2409, ISBN: 978-3-18-092409-0 

Mauthe, F.; Hönig, M.; Zeiler, P. (2021): Untersuchung von Datensätzen und Definition praxisrelevanter Standardfälle im Kontext von Predictive Maintenance. 30. Fachtagung Technische Zuverlässigkeit 2021, 27.-28.04.2021, Nürtingen (online), VDI-Berichte 2377, ISBN: 978-3-18-092377-2 

Degradationsdatensätze

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

• Institut für Technische Zuverlässigkeit und Prognostik (IZP), Prof. Dr.-Ing. Peter Zeiler
• Forschungsprojekt Prognostics (MWK)
• Forschungsprojekt TheoMation (DFG)