Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit

In the International Thermonuclear Experimental Reactor, plasma is magnetically confined with Superconductive Magnets (SMs) that must be maintained at cryogenic temperature by a Superconducting Magnet Cryogenic Cooling Circuit (SMCCC). To guarantee cooling, Loss-Of-Flow Accidents (LOFAs) in the SMCCC are to be avoided. In this work, an approach to identify LOFA precursors (i.e., those component failures leading to a LOFA) is presented. The approach is based on a Spectral Clustering (SC) method using the Fuzzy C-Means (FCM) algorithm and is applied to the SMCCC of a single module of the ITER Central Solenoid (CS).

Automated summary

This work presents an approach to identify LOFA precursors (component failures leading to a loss of flow accidents) using a Spectral Clustering method based on the Fuzzy C-Means algorithm, applied to the Superconducting Magnet Cryogenic Cooling Circuit of a single module of ITER's Central Solenoid.