A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators

A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators

The beam interruptions (interlocks) of particle accelerators, despite being necessary safety measures, lead to abrupt operational changes and a substantial loss of beam time. A novel time series classification approach is applied to decrease beam time loss in the High-Intensity Proton Accelerator co...

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Bibliographic Details
Main Authors: Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Perez-Cruz, Davide Reggiani, Andreas Adelmann
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Information
Subjects:
time series classification
recurrence plot
convolutional neural network
random forest
charged particle accelerator
Online Access:https://www.mdpi.com/2078-2489/12/3/121

Internet

https://www.mdpi.com/2078-2489/12/3/121

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