Cargando…
Real electronic signal data from particle accelerator power systems for machine learning anomaly detection
This article describes real time series datasets collected from the high voltage converter modulators (HVCM) of the Spallation Neutron Source facility. HVCMs are used to power the linear accelerator klystrons, which in turn produce the high-power radio frequency to accelerate the negative hydrogen i...
Autores principales: | Radaideh, Majdi I., Pappas, Chris, Cousineau, Sarah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309398/ https://www.ncbi.nlm.nih.gov/pubmed/35898863 http://dx.doi.org/10.1016/j.dib.2022.108473 |
Ejemplares similares
-
Operational data for fault prognosis in particle accelerators with machine learning
por: Radaideh, Majdi I., et al.
Publicado: (2023) -
Real-time Machine Learning in particle physics
por: Aarrestad, Thea
Publicado: (2022) -
Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques
por: Cavallaro, Claudia, et al.
Publicado: (2023) -
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
por: Wang, Michael, et al.
Publicado: (2021) -
Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft
por: Petković, Matej, et al.
Publicado: (2022)