| Issue Date | Title | Involved Person(s) |
| 26-Jan-2024 | A generic machine learning framework for fully-unsupervised anomaly detection with contaminated data | Ulmer, Markus; Zgraggen, Jannik; Goren Huber, Lilach |
| 8-Dec-2023 | Hybride Instandhaltung : wie fliesst das Fachwissen in die KI? | Goren Huber, Lilach; Palmé, Jan Thomas; Arias Chao, Manuel |
| Sep-2023 | Fully unsupervised fault detection in solar power plants using physics-informed deep learning | Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach |
| 22-Jun-2023 | Deep learning for predictive maintenance : scalable implementation in operational setups | Goren Huber, Lilach |
| Jun-2023 | Physics-informed machine learning for predictive maintenance : applied use-cases | Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel |
| 1-Nov-2022 | Scalable deployment of deep learning algorithms for predictive maintenance in commercial machine fleets : bridging the research-industry gap | Goren Huber, Lilach |
| 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 |
| 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 |
| 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 |
| 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 |
