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 language | English |
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Title of host publication | IEEE Industry Applications Society Annual Meeting |
Subtitle of host publication | IAS 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 7 |
ISBN (Electronic) | 9781538645390 |
ISBN (Print) | 9781538645406 |
DOIs | |
Publication status | E-pub ahead of print - 28 Nov 2019 |
Publication series
Name | IEEE Industry Applications Society Annual Meeting |
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Publisher | IEEE |
ISSN (Print) | 0197-2618 |
ISSN (Electronic) | 2576-702X |
Bibliographical note
ACKNOWLEDGEMENTSThis work was supported by the Lloyd’s Register
Foundation (LRF) Centre for Safety and Reliability
Engineering at the University of Aberdeen, UK; and the
Administrative Department of Science, Technology, and
Innovation of Colombia COLCIENCIAS under the grant
ANH-720. LRF is a UK charity that helps to protect the safety
of life and property, and support education, engineeringrelated research and public engagement.
Keywords
- functional safety
- IEC 61508
- Markov processes
- probability of failure on demand
- reliability assessment
- Safety integrity level