Authors

• Joris Paret
• Daniel Iglesias
• Daniel Sabio Ruiz
• Dilin Meloni
• Andrea Antonione
• Ruggero Bertazzoni
• Giuseppe Carannante
• Martino Ferrari
• Maria Ortiz de Zuniga
• Mario Cavinato
• Francisco Sanchez Arcos
• Alfredo Portone

Abstract

The Tokamak Systems Monitor (TSM) software will provide ITER operators with timely assessments of machine health, component lifetime, and early warnings of potential faults. Among its key functions, the TSM will employ data-driven anomaly-detection methods to identify unexpected or abnormal behavior across a broad range of systems and diagnostics. This work presents an initial proof of concept for anomaly detection applied to gyrotron pulses, leveraging data from the European gyrotron prototype. The method combines dimensionality reduction and clustering techniques to identify deviations from expected operational patterns. While this first demonstration focuses on intershot anomaly detection for gyrotrons, the methodology is designed to be adaptable to other systems and signals within the TSM.

Article availability

This open-access paper is published in IEEE Transactions on Plasma Science.