Issue Date | Title | Involved Person(s) |
Sep-2023 | Fully unsupervised fault detection in solar power plants using physics-informed deep learning | Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach |
2022 | Scaling-up deep learning based predictive maintenance for commercial machine fleets : a case study | Ulmer, Markus; Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach |
6-Jul-2021 | Implementing AI-based innovation in industry | Goren Huber, Lilach; Acquaviva, Michele; Pizza, Gianmarco |
Jun-2021 | Implementation of multi-task learning neural network architectures for robust industrial optical sensing | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |
Mar-2021 | Implementing smart maintenance in industry : deep learning for wind turbine fault detection | Goren Huber, Lilach |
20-Jan-2021 | Deep learning for fault detection : the path to predictive maintenance of wind turbines | Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach |
2021 | Deep Learning und Predictive Maintenance : Anwendungsfall Windturbinen | Goren Huber, Lilach; Pizza, Gianmarco |
8-Jun-2020 | An AI-based fault detection model using alarms and warnings from the SCADA system | Pizza, Gianmarco; Notaristefano, Antonio; Fabbri, Gregory Sean; Goren Huber, Lilach |
Jul-2019 | 2019 Preface | Fellermann, Harold; Bacardit, Jaume; Goñi-Moreno, Ángel; Füchslin, Rudolf M. |