Zentrum für Graduiertenstudien

Frau Lea Hannah Günther

Zuverlässigkeitstechnik und Risikoanalytik

Team

http://www.lzr.uni-wuppertal.de

Biografie

Kurzbiographie:

Seit 2020              Wissenschaftliche Mitarbeiterin am Lehrstuhl für Zuverlässigkeitstechnik und Risikoanalytik, Bergische Universität Wuppertal

2018-2020           Master of Science Qualitätsingenieurwesen, Bergische Universität Wuppertal

2015-2018           Bachelor of Science Sicherheitstechnik, Bergische Universität Wuppertal
 

Titel und Abstract des Dissertationsprojekts:

In Bearbeitung

Neuigkeiten

Vortragstätigkeit:

30.08.2022 „Usage data analysis of lithium-ion batteries as a base for the prediction of the product reliability in a specific second life application”, 32th European Safety and Reliability Conference, 28. August – 1. September 2022 in Dublin, Irland
22.09.2021 „Reliability engineering of electric vehicle powertrains: Data collection and analysis based on products in the usage phase”, 31th European Safety and Reliability Conference, 19th – 23th September 2021 in Angers, Frankreich
21.09.2021 „Data collection and analysis based on products in the usage phase”, 31th European Safety and Reliability Conference, 19th – 23th September 2021 in Angers, Frankreich
11.2020 „Concept for a second life use of traction batteries in private households: The impact of an adapted environmental setting on the product reliability”, Online-Präsentation, 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 01.-05.November 2020 in Venedig, Italien
30.10.2019 „Verwendung von Computer Vision in Kombination mit maschinellem Lernen zur Analyse der Oberflächenbeschaffenheit von fein geschliffenen Messerklingen“, Jahrestagung 2019 der Gesellschaft für Qualitätswissenschaft e.V. (GQW) in Aachen

Publikationen:

Lea Hannah Guenther, Pit Fiur and Stefan Bracke: Usage data analysis of lithium-ion batteries as a base for the prediction of the product reliability in a specific second life application. In: Proceedings of the 32th European Safety and Reliability Conference (Eds.: Maria Chiara Leva, Edoardo Patelli, Luca Podofillini, and Simon Wilson), 28th August – 1st September 2022, Dublin, Ireland. European Safety and Reliability Association (ESRA). Pages: 1212-1219; ISBN: 978-981-18-5183-4; doi: 10.3850/978-981-18-5183-4_R22-02-057-cd

M. Hinz, L.H. Guenther, J. Pietruschka und S. Bracke: Anwendung von Algorithmen des Maschinellen Lernens zur Beurteilung der Qualität von fein geschliffenen Messeroberflächen als Grundlage für die kontinuierliche Prozessverbesserung im Rahmen des Qualitätsmanagements. In: Woll, R., Goldmann, C. (Hrsg.) Trends und Entwicklungstendenzen im Qualitätsmanagement. GQWJT 2021. Springer Vieweg, Wiesbaden (2022). doi.org/10.1007/978-3-658-38686-3_10; ISBN: 978-3-658-38685-6

L. H. Guenther, M. Hinz and S. Bracke: CNN based analysis of grinded surfaces. In: Proceedings of the 31th European Safety and Reliability Conference (Eds.: Bruno Castanier, Marko Cepin, David Bigaud and Christophe Berenguer), 19th – 23th September 2021, Angers, France. European Safety and Reliability Association (ESRA). Research Publishing Services, Singapore. Pages: 1026-1033; ISBN: 978-981-18-2016-8; doi: 10.3850/978-981-18-2016-8_181-cd

L. H. Guenther, T. Scholz, F. Pautzke, H. Fechtner, B. Schmuelling, N. Schelte, S. Severengiz, M. Hinz and S. Bracke: Reliability engineering of electric vehicle powertrains: Data collection and analysis based on products in the usage phase. In: Proceedings of the 31th European Safety and Reliability Conference (Eds.: Bruno Castanier, Marko Cepin, David Bigaud and Christophe Berenguer), 19th – 23th September 2021, Angers, France. European Safety and Reliability Association (ESRA). Research Publishing Services, Singapore. Pages: 2573-2580; ISBN: 978-981-18-2016-8; doi: 10.3850/978-981-18-2016-8_183-cd

M. Hinz, L. H. Guenther and S. Bracke: A comprehensive parameter study regarding the neural networks based monitoring of grinded surfaces. In: Proceedings of the 31th European Safety and Reliability Conference (Eds.: Bruno Castanier, Marko Cepin, David Bigaud and Christophe Berenguer), 19th – 23th September 2021, Angers, France. European Safety and Reliability Association (ESRA). Research Publishing Services, Singapore. Pages: 2014-2021; ISBN: 978-981-18-2016-8; doi: 10.3850/978-981-18-2016-8_521-cd

S. Bracke and L. H. Guenther: Concept for a second life use of traction batteries in private households: The impact of an adapted environmental setting on the product reliability. In: Proceedings of ESREL 2020 PSAM 15 (Eds.: Piero Baraldi, Francesco Di Maio and Enrico Zio), 1st – 6th November 2020, Venice, Italy. European Safety and Reliability Association (ESRA); International Association for Probabilistic Safety Assessment and Management. Research Publishing Services, Singapore, (2020). Pages 4178-4185; ISBN: 978-981-14-8593-0; doi:10.3850/978-981-14-8593-0

M. Hinz, L. H. Günther and S. Bracke: Application of Computer Vision in the Analysis and Prediction of Fine Grinded Surfaces. In: Proceedings of ESREL 2020 PSAM 15 (Eds.: Piero Baraldi, Francesco Di Maio and Enrico Zio), 1st – 6th November 2020, Venice, Italy. European Safety and Reliability Association (ESRA); International Association for Probabilistic Safety Assessment and Management. Research Publishing Services, Singapore, (2020). Pages 1718-1725; ISBN: 978-981-14-8593-0; doi:10.3850/978-981-14-8593-0

L. H. Günther, M. Hinz and S. Bracke: Verwendung von Computer Vision in Kombination mit maschinellem Lernen zur Analyse der Oberflächenbeschaffenheit von fein geschliffenen Messerklingen. In: Schmitt, R. H. (Hrsg.) Datengetriebenes Qualitätsmanagement: Bericht zur GQW-Jahrestagung 2019 in Aachen, Seiten 96-113, Springer Vieweg, Berlin, Heidelberg, (2020). doi.org/10.1007/978-3-662-62442-5_6; ISBN: 978-3-662-62441-8

M. Hinz, M. Radetzky, L. Guenther, P. Fiur, S. Bracke: Machine Learning driven image analysis of fine grinded knife blade surface topographies. Proceedings of ICPR 2019, 9th – 15th August, Chicago, USA (2019).

Sonstiges

Ms.Sc.

Weitere Infos über #UniWuppertal: