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Our paper developing a distributed dynamic predictive maintenance scheduling in manufacturing systems has been published in the Journal of Manufacturing systems

We propose a framework based on distributed model predictive control and Benders decomposition for the manufacturing systems dynamic maintenance decision in the context of predictive maintenance.
IMS-Chair on ETH News "Keeping an eye on systems"

An article about infrastructure systems with four examples on how researchers are trying to prevent fatal consequences due to disruptions has been published on the ETH news. One example focuses on our Chair.
Check out our new paper on Signal-to-image transformation for anomaly detection

Read more about our paper on Signal-to-image transformation for anomaly detection, applied to accelerometer measurements from helicopters.
Pegah Rokh Foroz successfully defends her dissertation and continues her work at the IMS Chair as Post Doc

In March, Pegah Rokh Foroz successfully defended her PhD thesis focused on resource allocation for multi-agent system with incomplete information. She is now working in the IMS-Team as a Post Doc.
Check out our latest published paper "Interpretable Detection of Partial Discharge in Power Lines with Deep Learning"

In our latest published paper, we propose an end-to-end deep learning framework for time series diagnostics based on the pulses in them. We apply it to partial discharge detection in medium voltage powerline and reached rank 4 in the corresponding Kaggle competition. Many thanks to Chi-Ching Hsu for his amazing collaboration!