%0 Journal Article %1 gaisser2023cavitation %A Gaisser, Lukas %A Kirschner, Oliver %A Riedelbauch, Stefan %D 2023 %I American Institute of Physics %J Physics of fluids %K abgleich ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie %N 2 %P 027128 %R 10.1063/5.0137068 %T Cavitation detection in hydraulic machinery by analyzing acoustic emissions under strong domain shifts using neural networks %V 35

@article{gaisser2023cavitation, added-at = {2024-01-23T11:01:17.000+0100}, author = {Gaisser, Lukas and Kirschner, Oliver and Riedelbauch, Stefan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2508fc483ce157ac6e167756bcd0d02ed/unibiblio}, doi = {10.1063/5.0137068}, interhash = {e0b7e51521773bcf4316a237747c226c}, intrahash = {508fc483ce157ac6e167756bcd0d02ed}, issn = {1089-7666}, journal = {Physics of fluids}, keywords = {abgleich ubs_10004 ubs_20004 ubs_30048 ubs_40076 unibibliografie}, language = {eng}, number = 2, pages = 027128, publisher = {American Institute of Physics}, timestamp = {2024-01-23T11:01:17.000+0100}, title = {Cavitation detection in hydraulic machinery by analyzing acoustic emissions under strong domain shifts using neural networks}, volume = 35, year = 2023 }