Multi-module-based CVAE to predict HVCM faults in the SNS accelerator

This paper presents a conditional variational autoencoder (CVAE) approach for predicting high-voltage converter module (HVCM) faults in the SNS accelerator. The multi-module architecture enables effective fault prediction by learning normal operating patterns and detecting deviations.

Machine Learning with Applications, Volume 13, Article 100484