SMART_TC: an R&D Programme on uses of artificial intelligence techniques for tritium monitoring in complex ITER-like tritium plant systems
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10.1016/j.fusengdes.2021.112409
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/367794
Tipus de documentArticle
Data publicació2021-05
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
Abstract
The realization of nuclear fusion energy is nowadays based on the concept of tritium breeding and the success of the ITER experiment. The latter relies today on a static monitoring approach to fulfill the emission limits imposed by the regulatory institutions. Artificial intelligence applications for fault diagnosis and process monitoring anticipate potential for the dynamic management of tritium in complex plant systems. This paper explores the dynamic tritium inventory management issue in complex systems, reviews the diverse artificial intelligence techniques and discusses the most promising approaches for ITER-like plant system match balance monitoring.
CitacióIraola, E. [et al.]. SMART_TC: an R&D Programme on uses of artificial intelligence techniques for tritium monitoring in complex ITER-like tritium plant systems. "Fusion engineering and design", Maig 2021, vol. 166, núm. article 112409.
ISSN0920-3796
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S092037962100185X
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