%0 Journal Article %1 grafe2024machinelearningbased %A Gräfe, Moritz %A Pettas, Vasilis %A Dimitrov, Nikolay %A Cheng, Po Wen %D 2024 %I Copernicus Publications %J Wind energy science %K f2024 gold oafonds ubs_10006 ubs_20010 ubs_30093 ubs_40324 unibibliografie %N 11 %P 2175–2193 %R 10.5194/wes-9-2175-2024 %T Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements %V 9

@article{grafe2024machinelearningbased, added-at = {2025-03-26T15:23:21.000+0100}, author = {Gräfe, Moritz and Pettas, Vasilis and Dimitrov, Nikolay and Cheng, Po Wen}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a08d98e9d35c89198d2e42352c2a1442/unibiblio}, doi = {10.5194/wes-9-2175-2024}, interhash = {d43790a47aba4480b8d831423abab600}, intrahash = {a08d98e9d35c89198d2e42352c2a1442}, issn = {2366-7451}, journal = {Wind energy science}, keywords = {f2024 gold oafonds ubs_10006 ubs_20010 ubs_30093 ubs_40324 unibibliografie}, language = {eng}, number = 11, pages = {2175–2193}, publisher = {Copernicus Publications}, timestamp = {2025-03-26T15:23:21.000+0100}, title = {Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements}, volume = 9, year = 2024 }