Operational data for fault prognosis in particle accelerators with machine learning

This paper presents real operational data collected from the power systems of the Spallation Neutron Source facility, which provides the most intense neutron beam in the world. The authors have used a radio-frequency test facility (RFTF) and simulated system failures in the lab without causing a cat...

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Detalles Bibliográficos
Autores principales: Radaideh, Majdi I., Pappas, Chris, Wezensky, Mark, Cousineau, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622613/
https://www.ncbi.nlm.nih.gov/pubmed/37928324
http://dx.doi.org/10.1016/j.dib.2023.109658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622613/
https://www.ncbi.nlm.nih.gov/pubmed/37928324
http://dx.doi.org/10.1016/j.dib.2023.109658

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