18–26 Sept 2025
Ito International Research Center
Asia/Tokyo timezone

Development of fault identification pipeline for SPIRAL2 LLRF data

TUP68
23 Sept 2025, 14:30
3h
Ito International Research Center

Ito International Research Center

Tokyo
Board: TUP68
Student Poster Presentation MC4: SRF Technologies Tuesday Poster Session

Speaker

Charly Lassalle (Université de Caen Normandie, GANIL)

Description

SPIRAL2 is a state-of-the-art superconducting linear accelerator for heavy ions. The radiofrequency operation of the linac can be disrupted by anomalies that affect its reliability. This work leverages fast, multivariate time series postmortem data from the Low-Level Radio Frequency (LLRF) systems to differentiate anomaly groups. However, interpreting these anomalies traditionally relies on expert analysis, with certain behaviours remaining obscure even to experienced observers. By adopting the Time2Feat pipeline, this study explores the interpretability of anomalies through feature selection, paving the way for real-time state observers. Clustering dashboards are presented, allowing the use of multiple clustering algorithms easily configurable and tools to help for visualizing results. A case study on distinguishing electronic quenches and false quench alarms in postmortem data is highlighted. Thereby, a fast and reliable K-Nearest Neighbours (KNN) classifier is proposed.

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Author

Charly Lassalle (Université de Caen Normandie, GANIL)

Co-authors

Dr Adnan Ghribi (GANIL) Frédéric Bouly (Laboratoire de Physique Subatomique et de Cosmologie) Mr Marco Di Giacomo (GANIL) Patrick Bonnay (Université Grenoble Alpes, CEA Grenoble, Institut de Recherche Interdisciplinaire de Grenoble, Département des Systèmes Basses Températures)

Presentation materials

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