Analysis of Deep Learning-Based Frameworks for Fault Detection in Big Research Infrastructures: A Case Study of the SOLARIS Synchrotron
M Piekarski, J Jaworek-Korjakowska… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents an in-depth analysis of multi-modal, deep learning-based frameworks
for fault detection within big research infrastructures, with a specific focus on synchrotron …
for fault detection within big research infrastructures, with a specific focus on synchrotron …
[HTML][HTML] Recurrent neural networks for anomaly detection in magnet power supplies of particle accelerators
This research illustrates how time-series forecasting employing recurrent neural networks
(RNNs) can be used for anomaly detection in particle accelerators—complex machines that …
(RNNs) can be used for anomaly detection in particle accelerators—complex machines that …
Intelligent Control Systems and Machine Learning Approaches for Particle Accelerators
D Marcato - 2024 - research.unipd.it
Particle accelerators are used all around the world for fundamental physics research,
medical diagnosis and industrial applications. These can be extremely complex machines …
medical diagnosis and industrial applications. These can be extremely complex machines …