6 citations · 10 across the 3 of their papers we have counts for
4 papers
Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach
Leonhard Heindel, Peter Hantschke, Markus Kästner
Extensive monitoring comes at a prohibitive cost, limiting Predictive Maintenance strategies for vehicle fleets. This paper presents a measurement-based virtual sensing technique w…
Performance Assessment of different Machine Learning Algorithm for Life-Time Prediction of Solder Joints based on Synthetic Data
Stefan Muench, Darshankumar Bhat, Leonhard Heindel +3
This paper proposes a computationally efficient methodology to predict the damage progression in solder contacts of electronic components using temperature-time curves. For this pu…
Assessment of hybrid machine learning models for non-linear system identification of fatigue test rigs
Leonhard Heindel, Peter Hantschke, Markus Kästner
The prediction of system responses for a given fatigue test bench drive signal is a challenging task, for which linear frequency response function models are commonly used. To acco…
An efficient phase-field model for fatigue fracture in ductile materials
Martha Seiler, Thomas Linse, Peter Hantschke +1
Fatigue fracture in ductile materials, e. g. metals, is caused by cyclic plasticity. Especially regarding the high numbers of load cycles, plastic material models resolving the ful…