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

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dc.authorid0000-0002-0518-4086en_US
dc.authorid0000-0002-5533-9621en_US
dc.authorid0000-0003-1570-0344en_US
dc.contributor.authorUribe, Gustavo A.
dc.contributor.authorTortajada, Ignacio Asensi
dc.contributor.authorSanchez, Carlos Solans
dc.contributor.authorRummler, Andre
dc.contributor.authorOyulmaz, Kaan Yüksel
dc.contributor.authorDenizli, Haluk
dc.date.accessioned2024-07-25T07:37:39Z
dc.date.available2024-07-25T07:37:39Z
dc.date.issued2023en_US
dc.departmentBAİBÜ, Lisansüstü Eğitim Enstitüsü, Fen Bilimleri, Fizik Ana Bilim Dalıen_US
dc.description.abstractThe 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.en_US
dc.identifier.citationUribe, G. A., Tortajada, I. A., Sánchez, C. S., Rummler, A., Oyulmaz, K. Y., & Denizli, H. (2023, February). Graph-based algorithm for the understanding of failures in the ATLAS infrastructure. In Journal of Physics: Conference Series (Vol. 2438, No. 1, p. 012045). IOP Publishing.en_US
dc.identifier.doi10.1088/1742-6596/2438/1/012045
dc.identifier.endpage5en_US
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.scopus2-s2.0-85149776574en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.1088/1742-6596/2438/1/012045
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12274
dc.identifier.volume2438en_US
dc.identifier.wosWOS:001026601300045en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorOyulmaz, Kaan Yüksel
dc.institutionauthorDenizli, Haluk
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartof20th International Workshop On Advanced Computing and Analysis Techniques in Physics Researchen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectKnowledge-Based Applicationen_US
dc.subjectExpert Systemen_US
dc.subjectATLAS Technical Coordination Expert Systemen_US
dc.titleGraph-based algorithm for the understanding of failures in the ATLAS infrastructureen_US
dc.typeConference Objecten_US

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