A Two-Stage Machine Learning-Aided Approach for Quench Identification at the European XFEL

Author:

Boukela L.,Eichler A.,Branlard J.,Jomhari N.Z.

Publisher

Elsevier BV

Reference17 articles.

1. Online detuning computation and quench detection for superconducting resonators;Bellandi;IEEE Trans. Nucl. Sci.,2021

2. Superconducting cavity quench detection and prevention for the European XFEL;Branlard;In 14th International Conference on Accelerator & Large Experimental Physics Control Systems,2013

3. Machine learning assisted cavity quench identi-fcation at the European XFEL;Branlard;In 31st International Linear Accelerator Conference,2022

4. Anomaly detection at the European X-ray free electron laser using a parity-space-based method;Eichler;Phys. Rev. Accel. Beams,2023

5. Kaufman, L. and Rousseeuw, P.J. (1990). Finding groups in data: an introduction to cluster analysis. John Wiley & Sons, Inc, New York, NY, USA.

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