Issue Date | Title | Involved Person(s) |
28-Oct-2022 | Physics informed deep learning for tracker fault detection in photovoltaic power plants | Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach |
4-Jul-2022 | Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data | Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach |
Jun-2022 | Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall Photovoltaikanlagen | Goren Huber, Lilach; Notaristefano, Antonio |
29-Jun-2021 | Transfer learning approaches for wind turbine fault detection using deep learning | Zgraggen, Jannik; Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach |
Aug-2020 | Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithms | Lehmann, Claude; Goren Huber, Lilach; Horisberger, Thomas; Scheiba, Georg; Sima, Ana-Claudia, et al |
Jul-2020 | Early fault detection based on wind turbine SCADA data using convolutional neural networks | Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach |