Reliability Model and Sensitivity Analysis for Electrical/Electronic/Programmable Electronic Safety-Related Systems

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

Research output: Contribution to journalResearch Articlepeer-review

12 Scopus citations

Abstract

Nowadays, different industries such as nuclear, automotive, process, chemical, and oil and gas industry must meet specific requirements in order to keep and reduce safety risks to as low as reasonably practicable 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 article discusses 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 and safety integrity level 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)
Article number9080072
Pages (from-to)3422-3430
Number of pages9
JournalIEEE Transactions on Industry Applications
Volume56
Issue number4
DOIs
StatePublished - Jul 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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