A Machine-Learning-based Surrogate Modeling Methodology for Submodel Integration in the Holistic Railway Digital Twin Platform

Autor: Zhou, Shiyang, Meierhofer, Alexander, Kugu, Ozan, Xia, Yuxi, Grafinger, Manfred

Publikováno v: In Procedia CIRP 2023 119:345-350

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A new hybrid approach to predict worn wheel profile shapes.

Autor: Hartwich, Dietmar, Müller, Gabor, Meierhofer, Alexander, Obadic, Danijel, Rosenberger, Martin, Lewis, Roger, Six, Klaus

Publikováno v: Vehicle System Dynamics; Jun2023, Vol. 61 Issue 6, p1548-1564, 17p

Erratum to: Testing and modelling of transient adhesion phenomena in rolling-sliding contacts.

Autor: Kvarda, Daniel, Meierhofer, Alexander, Six, Klaus

Publikováno v: Friction (2223-7704); Jul2024, Vol. 12 Issue 7, p1622-1622, 1p

Vehicle tests showing how the weather in autumn influences the wheel–rail traction characteristics.

Autor: Meierhofer, Alexander, Trummer, Gerald, Bernsteiner, Christof, Six, Klaus

Publikováno v: Proceedings of the Institution of Mechanical Engineers -- Part F -- Journal of Rail & Rapid Transit (Sage Publications, Ltd.); Apr2020, Vol. 234 Issue 4, p426-435, 10p