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).

Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit / Destino, Vincenzo; Bonifetto, Roberto; Di Maio, Francesco; Pedroni, Nicola; Zanino, Roberto; Zio, Enrico. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - ELETTRONICO. - 209:(2021), p. 107426. [10.1016/j.ress.2020.107426]

Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit

Destino, Vincenzo;Bonifetto, Roberto;Pedroni, Nicola;Zanino, Roberto;Zio Enrico
2021

Abstract

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).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2915874