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Our paper "Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection" was presented at PHME21
Our paper entitled "Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection", written by Dr. Gaëtan Frusque, Dr. Gabriel Michau and Prof. Dr. Olga Fink, was presented at the PHM Society European Conference 2021.
Manuel Arias Chao successfully defends his dissertation
On July 15th, our doctoral student Manuel Arias Chao at the Chair of Intelligent Maintenance Systems successfully defended his thesis “Combining Deep Learning and Physics-based Performance Models for Diagnostics and Prognostics”.
Our research is in the focus of this month's AI+X event series of ETH AI Center exploring AI+Industry & Manufacturing
Our research has been featured within the AI+X event series within this month’s AI+X topic: Industry & Manufacturing jointly organized by the ETH AI Center and the ETH Strategic Foresight, Office of the president.
Maximilian Benker as academic guest at the IMS Chair
Maximilian Benker, research associate at the Institute for Machine Tools and Industrial Management (iwb) at the Technical University of Munich (TUM), is an academic guest at the Chair of Intelligent Maintenance Systems (IMS) until 24.09.2021.