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Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output
Linear accelerators are complex machines that can face significant periods of downtime due to anomalies and the subsequent failure of one or more components. The need for reliable linear accelerator operations (LINAC) is critical to the spread of this method in the medical environment. At CERN, wher...
Autores principales: | , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1109/ITNT49337.2020.9253296 http://cds.cern.ch/record/2772048 |
_version_ | 1780971398079971328 |
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author | Donon, Yann Kupriyanov, Alexander Kirsh, Dmitriy Meglio, Alberto Di Paringer, Rustam Rytsarev, Igor Serafimovich, Pavel Syomic, Sergey |
author_facet | Donon, Yann Kupriyanov, Alexander Kirsh, Dmitriy Meglio, Alberto Di Paringer, Rustam Rytsarev, Igor Serafimovich, Pavel Syomic, Sergey |
author_sort | Donon, Yann |
collection | CERN |
description | Linear accelerators are complex machines that can face significant periods of downtime due to anomalies and the subsequent failure of one or more components. The need for reliable linear accelerator operations (LINAC) is critical to the spread of this method in the medical environment. At CERN, where LINACs are used for fundamental research, similar problems are encountered, such as the appearance of jitter in plasma sources (2 MHz RF generators), which can have a significant effect on subsequent beam quality in the accelerator. The SmartLINAC project was created to increase LINACs’ reliability by early detection and prediction of anomalies in its operations, down to the component level. This article shows how anomalies were first discovered and goes deep into understanding the nature of the data. The research adds new elements to anomaly detection approaches used to record jitter periods on 2MHz RF generators. |
id | oai-inspirehep.net-1832899 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
record_format | invenio |
spelling | oai-inspirehep.net-18328992021-07-02T13:28:57Zdoi:10.1109/ITNT49337.2020.9253296http://cds.cern.ch/record/2772048engDonon, YannKupriyanov, AlexanderKirsh, DmitriyMeglio, Alberto DiParinger, RustamRytsarev, IgorSerafimovich, PavelSyomic, SergeyExtended anomaly detection and breakdown prediction in LINAC 4’s RF power source outputAccelerators and Storage RingsLinear accelerators are complex machines that can face significant periods of downtime due to anomalies and the subsequent failure of one or more components. The need for reliable linear accelerator operations (LINAC) is critical to the spread of this method in the medical environment. At CERN, where LINACs are used for fundamental research, similar problems are encountered, such as the appearance of jitter in plasma sources (2 MHz RF generators), which can have a significant effect on subsequent beam quality in the accelerator. The SmartLINAC project was created to increase LINACs’ reliability by early detection and prediction of anomalies in its operations, down to the component level. This article shows how anomalies were first discovered and goes deep into understanding the nature of the data. The research adds new elements to anomaly detection approaches used to record jitter periods on 2MHz RF generators.oai:inspirehep.net:18328992020 |
spellingShingle | Accelerators and Storage Rings Donon, Yann Kupriyanov, Alexander Kirsh, Dmitriy Meglio, Alberto Di Paringer, Rustam Rytsarev, Igor Serafimovich, Pavel Syomic, Sergey Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output |
title | Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output |
title_full | Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output |
title_fullStr | Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output |
title_full_unstemmed | Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output |
title_short | Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output |
title_sort | extended anomaly detection and breakdown prediction in linac 4’s rf power source output |
topic | Accelerators and Storage Rings |
url | https://dx.doi.org/10.1109/ITNT49337.2020.9253296 http://cds.cern.ch/record/2772048 |
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