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Graph-based algorithm for the understanding of failures in the ATLAS infrastructure

The ATLAS Technical Coordination Expert System is a knowledge-based application which describes and simulates the ATLAS experiment based on its components and their relationships with differing levels of granularity but with an emphasis on general infrastructure. It facilitates the sharing of knowle...

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Autores principales: Uribe, Gustavo A, Asensi Tortajada, Ignacio, Solans Sánchez, Carlos, Rummler, André, Oyulmaz, Kaan Yüksel, Denizli, Haluk
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012045
http://cds.cern.ch/record/2870328
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author Uribe, Gustavo A
Asensi Tortajada, Ignacio
Solans Sánchez, Carlos
Rummler, André
Oyulmaz, Kaan Yüksel
Denizli, Haluk
author_facet Uribe, Gustavo A
Asensi Tortajada, Ignacio
Solans Sánchez, Carlos
Rummler, André
Oyulmaz, Kaan Yüksel
Denizli, Haluk
author_sort Uribe, Gustavo A
collection CERN
description The ATLAS Technical Coordination Expert System is a knowledge-based application which describes and simulates the ATLAS experiment based on its components and their relationships with differing levels of granularity but with an emphasis on general infrastructure. It facilitates the sharing of knowledge and improves the communication among experts with different backgrounds and domains of expertise. The developed software has become essential for the planning of interventions as it gives easily insight into their consequences. Furthermore, it has also proven to be useful for exploring the most effective ways to improve the ATLAS operation and reliability by identifying points of failure with significant impact. The underlying database describes more than 13,000 elements with 89,000 relationships among them. It combines information from diverse domains such as detector control and safety systems, gas and water supplies, cooling, ventilation, cryogenics, and electricity distribution. As the most recent addition, a tool to identify the most probable cause of a failure state has been developed. This paper discusses the graph-based algorithm currently implemented by that tool and shows its behaviour based on the parameters entered by the user. An example in form of a real failure event is given which demonstrates the potential of the Expert System for understanding major failures faster in urgent situations.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
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spelling cern-28703282023-09-14T20:22:09Zdoi:10.1088/1742-6596/2438/1/012045http://cds.cern.ch/record/2870328engUribe, Gustavo AAsensi Tortajada, IgnacioSolans Sánchez, CarlosRummler, AndréOyulmaz, Kaan YükselDenizli, HalukGraph-based algorithm for the understanding of failures in the ATLAS infrastructureDetectors and Experimental TechniquesComputing and ComputersThe ATLAS Technical Coordination Expert System is a knowledge-based application which describes and simulates the ATLAS experiment based on its components and their relationships with differing levels of granularity but with an emphasis on general infrastructure. It facilitates the sharing of knowledge and improves the communication among experts with different backgrounds and domains of expertise. The developed software has become essential for the planning of interventions as it gives easily insight into their consequences. Furthermore, it has also proven to be useful for exploring the most effective ways to improve the ATLAS operation and reliability by identifying points of failure with significant impact. The underlying database describes more than 13,000 elements with 89,000 relationships among them. It combines information from diverse domains such as detector control and safety systems, gas and water supplies, cooling, ventilation, cryogenics, and electricity distribution. As the most recent addition, a tool to identify the most probable cause of a failure state has been developed. This paper discusses the graph-based algorithm currently implemented by that tool and shows its behaviour based on the parameters entered by the user. An example in form of a real failure event is given which demonstrates the potential of the Expert System for understanding major failures faster in urgent situations.oai:cds.cern.ch:28703282023
spellingShingle Detectors and Experimental Techniques
Computing and Computers
Uribe, Gustavo A
Asensi Tortajada, Ignacio
Solans Sánchez, Carlos
Rummler, André
Oyulmaz, Kaan Yüksel
Denizli, Haluk
Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
title Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
title_full Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
title_fullStr Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
title_full_unstemmed Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
title_short Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
title_sort graph-based algorithm for the understanding of failures in the atlas infrastructure
topic Detectors and Experimental Techniques
Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/2438/1/012045
http://cds.cern.ch/record/2870328
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