Model for Assessing the Safety Integrity Level of Electrical/ Electronic/Programmable Electronic Safety-Related Systems

Esperanza S. Torres, Srinivas Sriramula, David Celeita, Gustavo Ramos

Research output: Chapter in Book/ReportConference contribution

6 Scopus citations

Abstract

Nowadays, different industries such as nuclear, automotive, process, chemical, and oil gas industry, must meet specific requirements in order to keep and reduce safety risks to as low as reasonably practicable (ALARP) level. As a result, the number of electrical/electronic/programmable electronic safety-related systems (E/E/PES) to control, prevent and mitigate hazardous events has increased. Moreover, new guidelines and procedures have been developed to guarantee the availability and function of safety systems over their service life. Based on Markov processes, this paper proposes a reliability model to assess the integrity and verify the design of E/E/PES safety-related systems. The average probability of failure on demand (PFDavg) and Safety Integrity Level (SIL), are used to determine the reliability performance of an E/E/PES in a low demand mode of operation in accordance with the functional safety principles of the IEC 61508 and IEC 61511 standards.

Original languageEnglish (US)
Title of host publication2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645390
DOIs
StatePublished - Sep 2019
Externally publishedYes
Event2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 - Baltimore, United States
Duration: Sep 29 2019Oct 3 2019

Publication series

Name2019 IEEE Industry Applications Society Annual Meeting, IAS 2019

Conference

Conference2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Country/TerritoryUnited States
CityBaltimore
Period9/29/1910/3/19

All Science Journal Classification (ASJC) codes

  • Filtration and Separation
  • Fluid Flow and Transfer Processes
  • Process Chemistry and Technology
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Transportation

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