A pattern-based methodology for reliability assessment of safety instrumented systems

Huixing Meng, Leila Kloul, Antoine Rauzy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Safety Instrumented Systems (SIS) act as important safety barriers in industrial systems for preventing hazardous accidents. It is therefore significant to study the reliability issues of SIS. As a matter of fact, SIS have common behaviors such as periodic test policies to discover dangerous undetected failures. Modeling patterns capitalize the experience from modeling SIS. By reusing modeling patterns, modeling mission can be simplified when assessing reliability and availability of systems. Few studies related to SIS have been conducted on patterns for reliability assessment. This paper proposes a pattern-based methodology for reliability assessment of SIS. To demonstrate the applicability, the proposed methodology is applied on an emergency depressurization system provided in an ISO technical report (ISO/TR 12489). The comparison is performed between results obtained using given modeling patterns and the ones from ISO/TR 12489. It is shown that the pattern-based methodology can serve as an effective tool for modeling SIS in a modular way.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Systems Engineering, ISSE 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538634035
DOIs
Publication statusPublished - 26 Oct 2017
Externally publishedYes
Event3rd Annual IEEE International Symposium on Systems Engineering, ISSE 2017 - Vienna, Austria
Duration: 11 Oct 201713 Oct 2017

Publication series

Name2017 IEEE International Symposium on Systems Engineering, ISSE 2017 - Proceedings

Conference

Conference3rd Annual IEEE International Symposium on Systems Engineering, ISSE 2017
Country/TerritoryAustria
CityVienna
Period11/10/1713/10/17

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