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Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics

The operation of the LHC at CERN is highly dependent on its associated infrastructure to operate properly, such as its cryogenic system where many conditions must be fulfilled for superconducting magnets and RF cavities. In 2018, the LHC cryogenic system caused 172 hours of accelerator downtime (out...

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Detalles Bibliográficos
Autores principales: Martensson, Kurt, Bradu, Benjamin, Ferlin, Gerard
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.18429/JACoW-ICALEPCS2019-THCPL05
http://cds.cern.ch/record/2766504
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author Martensson, Kurt
Bradu, Benjamin
Ferlin, Gerard
author_facet Martensson, Kurt
Bradu, Benjamin
Ferlin, Gerard
author_sort Martensson, Kurt
collection CERN
description The operation of the LHC at CERN is highly dependent on its associated infrastructure to operate properly, such as its cryogenic system where many conditions must be fulfilled for superconducting magnets and RF cavities. In 2018, the LHC cryogenic system caused 172 hours of accelerator downtime (out of 5760 running hours). Since the cryogenics recovery acts as a time amplifier, it is important to identify not optimized processes and malfunctioning systems at an early stage to anticipate losses of availability. The LHC cryogenic control systems embeds about 60,000 I/O whereof more than 20,000 analog signals which have to be monitored by operators. It is therefore crucial to select only the relevant and necessary information to be presented. This paper presents a signal analysis system created to automatically generate adequate daily reports on potential problems in the LHC cryogenic system which are not covered by conventional alarms, and examples of real issues that have been found and treated during the 2018 physics run. The analysis system, which is written in Python, is generic and can be applied to many different systems.
id oai-inspirehep.net-1828363
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling oai-inspirehep.net-18283632022-01-14T14:54:54Zdoi:10.18429/JACoW-ICALEPCS2019-THCPL05http://cds.cern.ch/record/2766504engMartensson, KurtBradu, BenjaminFerlin, GerardSignal Analysis for Automated Diagnostic Applied to LHC CryogenicsAccelerators and Storage RingsThe operation of the LHC at CERN is highly dependent on its associated infrastructure to operate properly, such as its cryogenic system where many conditions must be fulfilled for superconducting magnets and RF cavities. In 2018, the LHC cryogenic system caused 172 hours of accelerator downtime (out of 5760 running hours). Since the cryogenics recovery acts as a time amplifier, it is important to identify not optimized processes and malfunctioning systems at an early stage to anticipate losses of availability. The LHC cryogenic control systems embeds about 60,000 I/O whereof more than 20,000 analog signals which have to be monitored by operators. It is therefore crucial to select only the relevant and necessary information to be presented. This paper presents a signal analysis system created to automatically generate adequate daily reports on potential problems in the LHC cryogenic system which are not covered by conventional alarms, and examples of real issues that have been found and treated during the 2018 physics run. The analysis system, which is written in Python, is generic and can be applied to many different systems.oai:inspirehep.net:18283632020
spellingShingle Accelerators and Storage Rings
Martensson, Kurt
Bradu, Benjamin
Ferlin, Gerard
Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics
title Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics
title_full Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics
title_fullStr Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics
title_full_unstemmed Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics
title_short Signal Analysis for Automated Diagnostic Applied to LHC Cryogenics
title_sort signal analysis for automated diagnostic applied to lhc cryogenics
topic Accelerators and Storage Rings
url https://dx.doi.org/10.18429/JACoW-ICALEPCS2019-THCPL05
http://cds.cern.ch/record/2766504
work_keys_str_mv AT martenssonkurt signalanalysisforautomateddiagnosticappliedtolhccryogenics
AT bradubenjamin signalanalysisforautomateddiagnosticappliedtolhccryogenics
AT ferlingerard signalanalysisforautomateddiagnosticappliedtolhccryogenics