Author: Averna, M.M.C.
Paper Title Page
THPAB250 Fire Detection System Reliability Analysis: An Operational Data-Based Framework 4296
 
  • M.M.C. Averna, G. Gai
    CERN, Meyrin, Switzerland
  
  This paper de­scribes a frame­work de­vel­oped at CERN, con­duct­ing re­li­a­bil­ity analy­sis of Safety-Crit­i­cal Sys­tems (Fire de­tec­tion and Alarms) based on op­er­a­tional data. It ap­plies Fault-Tree Analy­sis on main­te­nance-re­lated data, cat­e­go­rized based on the com­po­nent on fail­ure. This frame­work, a tool im­ple­mented in Python, ac­counts for Fire De­tec­tion com­po­nents in­stalled in tun­nels and sur­face build­ings (con­trol pan­els, de­tec­tors, etc) and safety func­tions trig­gered upon de­tec­tion (evac­u­a­tion, alarms to the CERN Fire Brigade, com­part­men­tal­iza­tion, elec­tri­cal iso­la­tion, etc). The use­ful­ness of the re­sults of this type of analy­sis is twofold. Firstly, the re­sults are a sup­port­ing tool for es­ti­mat­ing the yearly avail­abil­ity of Fire De­tec­tion Sys­tems in crit­i­cal fa­cil­i­ties, cru­cial in Cap­i­tal and Op­er­a­tional Ex­pen­di­ture iden­ti­fi­ca­tion. Ad­di­tion­ally, this ap­proach re­fines the fre­quency analy­sis as part of quan­ti­ta­tive fire risk as­sess­ments per­formed in the con­text of the FIRIA (Fire-In­duced Ra­di­o­log­i­cal In­te­grated As­sess­ment) Pro­ject, launched by CERN in 2018 and aim­ing at as­sess­ing the risk of fire events in ex­per­i­men­tal fa­cil­i­ties with po­ten­tial ra­di­o­logic con­se­quences to the pub­lic.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-THPAB250  
About • paper received ※ 18 May 2021       paper accepted ※ 19 July 2021       issue date ※ 22 August 2021  
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