Graph-based algorithm for the understanding of failures in the ATLAS infrastructure
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IOP Publishing
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Knowledge-Based Application, Expert System, ATLAS Technical Coordination Expert System
Kaynak
20th International Workshop On Advanced Computing and Analysis Techniques in Physics Research
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
2438
Sayı
Künye
Uribe, 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.
