Data analysis strategy for the ITER tokamak systems monitor

The ITER Tokamak Systems Monitor (TSM) is a comprehensive diagnostic and monitoring framework designed to ensure the operational health and performance of the ITER tokamak. This paper presents the data analysis strategy for TSM, detailing the multi-disciplinary models, data types, human-machine interface (HMI) specifications, software architecture, and ongoing development efforts. The approach integrates soft real-time and offline algorithm output representation, machine learning-based anomaly detection, and a modular early-warning database solution to support both operations and analysis.