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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...

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Autores principales: Donon, Yann, Kupriyanov, Alexander, Kirsh, Dmitriy, Meglio, Alberto Di, Paringer, Rustam, Rytsarev, Igor, Serafimovich, Pavel, Syomic, Sergey
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1109/ITNT49337.2020.9253296
http://cds.cern.ch/record/2772048
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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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