2021/03/17 by Adrien Vassal, A. Ghribi, Vassal, Adrien +12
Engineering · Physics and Astronomy · #Accelerator Physics (physics.acc-ph) #Advanced Data Processing Techniques #Artificial intelligence #Computer science #Control (management) #FOS: Physical sciences #Fault Detection and Control Systems #Gateway (web page) #Nuclear reactor physics and engineering #Operating system #Process (computing) #World Wide Web #physics.acc-ph
paper · pdf · doi:10.48550/arxiv.2103.10299
11 pages, 8 figures
arxiv created 2021/03/17 · openalex publication_date 2021/03/17 · arxiv updated 2021/03/19 · openalex created_date 2021/03/29 · openalex updated_date 2026/07/28
From simple physical systems to full production lines, numerical models could be used to minimize downtime and to optimize performances. In this article, the system of interest is the SPIRAL2 (Système de Production d'Ions RAdioactifs en Ligne de 2e génération) particles accelerator cryogenic system. This paper illustrates three totally different applications based on a SPIRAL2 cryostat model: optimal controller synthesis, virtual sensor synthesis and anomaly detection. The tow firsts applications have been deployed on the system. Experimental results are used to illustrate the benefits of such applications.