Publications

Hanbing Ma, Oliver Kirschner, and Stefan Riedelbauch. Systematic Comparison of Sensor Signals for Pump Operating Points Estimation Using Convolutional Neural Network. International journal of turbomachinery propulsion and power, (8)4:39, MDPI, 2023. [PUMA: oa ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie wos]

Simon Joßberger, and Stefan Riedelbauch. Scale-Resolving Hybrid RANS-LES Simulation of a Model Kaplan Turbine on a 400-Million-Element Mesh. International journal of turbomachinery, propulsion and power, (8)3:26, MDPI, 2023. [PUMA: oa ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie wos]

Lukas Gaisser, Oliver Kirschner, and Stefan Riedelbauch. Cavitation detection in hydraulic machinery by analyzing acoustic emissions under strong domain shifts using neural networks. Physics of fluids, (35)2:027128, American Institute of Physics, 2023. [PUMA: abgleich ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie]

Hanbing Ma, Lukas Gaisser, and Stefan Riedelbach. Monitoring Pumping Units by Convolutional Neural Networks for Operating Point Estimations. Energies, (16)11:4392, MDPI, 2023. [PUMA: f2023 gold oa oafonds ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie]

Christoph Geiger, and Stefan Riedelbach. Power Plant Transients including Hydraulic Short Circuit Operation Mode. Energies, (16)11:4492, MDPI, 2023. [PUMA: f2023 gold oa oafonds ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie]