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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Bibliographic Details
Main Authors: Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Sarah Cousineau
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923007436