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Issue DateTitleInvolved Person(s)
8-Jun-2020An AI-based fault detection model using alarms and warnings from the SCADA systemPizza, Gianmarco; Notaristefano, Antonio; Fabbri, Gregory Sean; Goren Huber, Lilach
2014Anlagenbewirtschaftung und NutzenmaximierungGoren Huber, Lilach; Heitz, Christoph; Sigrist, Jörg
Aug-2020Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithmsLehmann, Claude; Goren Huber, Lilach; Horisberger, Thomas; Scheiba, Georg; Sima, Ana-Claudia, et al
2018Condition-based maintenance decision making : a practical approach for marine vesselsGoren Huber, Lilach; Kunz, Simon; Dettling, Marcel
2017Condition-based maintenance decision making : a practical approach for marine vesselsGoren Huber, Lilach; Kunz, Simon; Dettling, Marcel
3-Nov-2020Cross-turbine training of convolutional neural networks for SCADA-based fault detection in wind turbinesUlmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach
2016Decision making in asset management : optimal allocation of resources for maximizing value realizationHeitz, Christoph; Goren, Lilach; Sigrist, Jörg
20-Jan-2021Deep learning for fault detection : the path to predictive maintenance of wind turbinesUlmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach
2021Deep Learning und Predictive Maintenance : Anwendungsfall WindturbinenGoren Huber, Lilach; Pizza, Gianmarco
Jul-2020Early fault detection based on wind turbine SCADA data using convolutional neural networksUlmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach
6-Jul-2021Implementing AI-based innovation in industryGoren Huber, Lilach; Acquaviva, Michele; Pizza, Gianmarco
Mar-2021Implementing smart maintenance in industry : deep learning for wind turbine fault detectionGoren Huber, Lilach
12-Feb-2020Intelligente Instandhaltung : Chancen und Herausförderungen für die Umsetzung in der PraxisGoren Huber, Lilach
2014On the economics of asset managementHeitz, Christoph; Goren Huber, Lilach
28-Oct-2022Physics informed deep learning for tracker fault detection in photovoltaic power plantsZgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach
Jun-2022Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall PhotovoltaikanlagenGoren Huber, Lilach; Notaristefano, Antonio
2017Predictive Maintenance zum effizienten Betrieb von Hochsee-SchiffenGoren Huber, Lilach; Dettling, Marcel; Kunz, Simon; Gsponer, Daniel
2019Risk Based Maintenance (RBM) : Minimierung der Nutzerrisiken und Betriebskosten mit einer risikobasierten Methode für den Unterhalt der BSASchtalheim, Uri; Ott, Stefan; Heitz, Christoph; Goren Huber, Lilach
2022Scaling-up deep learning based predictive maintenance for commercial machine fleets : a case studyUlmer, Markus; Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach
29-Jun-2021Transfer learning approaches for wind turbine fault detection using deep learningZgraggen, Jannik; Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach
Showing results 1 to 20 of 21  next >