Authors

• Joris Paret
• Brian Sammuli
• Victor Costa Perez
• Nathaniel Saura
• Laura Hernandez Cubo
• Daniel Iglesias

Abstract

The Tokamak Systems Monitor (TSM) is a software suite under development at ITER that provides operators with an integrated view of the tokamak’s engineering health based on operational instrumentation. A key functionality of TSM is anomaly detection, aimed at identifying unexpected behaviors across a wide range of systems. A dedicated anomaly-detection module integrates multiple machine-learning-based algorithms, ranging from intershot classification of complete pulses to online detection of localized events. The article illustrates the framework with a gyrotron-pulse classifier and a time-localized approach for monitoring magnet power supplies. Automated warnings generated by the module support operators in evaluating anomalies and improving ITER reliability.

Article availability

This open-access paper is published in Frontiers in Physics.