In a world increasingly facing new challenges at the forefront of plasma scientific research and technological innovation, CNR and ISTP pledge progress and achieve an impact in the integration of research into societal practices and policy
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disruption prediction
Showing all 4 results
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Applied sciences 13 (3), pp. 2006-1 - 2006-20 Year: 2023 DOI: 10.3390/app13032006
Performance Comparison of Machine Learning Disruption Predictors at JET
Aymerich E.; Cannas B.; Pisano F.; Sias G.; Sozzi C.; Stuart C.; Carvalho P.; Fanni A. -
Plasma physics and controlled fusion (Print) 64 (4), pp. 045002-1 - 045002-19 Year: 2022 DOI: 10.1088/1361-6587/ac4d3b
Development of robust indicators for the identification of electron temperature profile anomalies and application to JET
Rossi, Riccardo; Gelfusa, Michela; Flanagan, Joanne; Murari, Andrea -
Nuclear fusion (Online) 60 pp. 026001-1 - 026001-13 Year: 2019 DOI: 10.1088/1741-4326/ab2276
A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on JET
Vega J.; Murari A.; Dormido-Canto S.; Hernandez F.; Cruz T.; Gadariya D.; Ratta G.A.; JET Contributors -
Fusion engineering and design 138 pp. 254 - 266 Year: 2019 DOI: 10.1016/j.fusengdes.2018.11.021
A locked mode indicator for disruption prediction on JET and ASDEX upgrade
Sias G.; Cannas B.; Fanni A.; Murari A.; Pau A.; ASDEX Upgrade Team; EUROfusion MST1 Team; JET Contributors
