TY - JOUR
T1 - Reliability Model and Sensitivity Analysis for Electrical/Electronic/Programmable Electronic Safety-Related Systems
AU - Torres, Esperanza S.
AU - Sriramula, Srinivas
AU - Celeita, David
AU - Ramos, Gustavo
N1 - Funding Information:
This work was financed jointly by the Administrative Department of Science,Technology, and Innovation ofColombia (COLCIENCIAS) and the National Hydrocarbon Agency (ANH) under Grant ANH-720. This work was also supported by the Lloyds Register Foundation (LRF) Centre for Safety and Reliability Engineering at the University of Aberdeen, United Kingdom.
Funding Information:
Manuscript received June 21, 2019; revised January 4, 2020 and February 16, 2020; accepted April 13, 2020. Date of publication April 27, 2020; date of current version July 1, 2020. Paper 2019-PSEC-0713.R2, presented at the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, Sep. 29–Oct. 3, 2019, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Power Systems Engineering Committee of the IEEE Industry Applications Society. This work was financed jointly by the Administrative Department of Science, Technology, and Innovation of Colombia (COLCIENCIAS) and the National Hydrocarbon Agency (ANH) under Grant ANH-720. This work was also supported by the Lloyds Register Foundation (LRF) Centre for Safety and Reliability Engineering at the University of Aberdeen, United Kingdom. LRF is a U.K. charity that helps to protect the safety of life and property, and support education, engineering-related research and public engagement. (Corresponding author: Esperanza S. Torres.) Esperanza S. Torres and Srinivas Sriramula are with the School of Engineering, University of Aberdeen, Aberdeen AB24 3UE, U.K. (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85089152832
UR - https://www.scopus.com/pages/publications/85089152832#tab=citedBy
U2 - 10.1109/TIA.2020.2990583
DO - 10.1109/TIA.2020.2990583
M3 - Research Article
AN - SCOPUS:85089152832
SN - 0093-9994
VL - 56
SP - 3422
EP - 3430
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 4
M1 - 9080072
ER -