Early Fault Detection in Particle Accelerator Power Electronics Using Ensemble Learning

Early fault detection and fault prognosis are crucial to ensure efficient and safe operations of complex engineering systems such as the Spallation Neutron Source (SNS) and its power electronics (high voltage converter modulators). Following an advanced experimental facility setup that mimics SNS op...

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Bibliographic Details
Main Authors: Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Pradeep Ramuhalli, Sarah Cousineau
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2023-01-01
Series:International Journal of Prognostics and Health Management
Subjects: