Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7195669 | Reliability Engineering & System Safety | 2015 | 19 Pages |
Abstract
The control of risks generated by modern industrial facilities could not be guaranteed without the use of safety instrumented systems (SIS). The failure of SIS to achieve their assigned functions could result in huge consequences with respect to both (i) the safety of the monitored system (relating to the SIS safety integrity) as well as (ii) its production availability due to false trips (relating to the SIS operational integrity). Furthermore, these two aspects are usually antagonistic. Therefore, the assurance of this double performance comes first by a thoughtful design of SIS. In that case, the aim of this paper is twofold. First, it focuses on the establishment of generic analytical formulations allowing the assessment of the SIS performance regarding safety integrity and operational integrity. Second, it deals with SIS architecture design optimization. The optimization problem is firstly addressed by a preliminary search for a balance between the above two quantities relying on the analysis of the structure of KooN architectures. Then, a more general and suitable approach based on genetic algorithms is proposed, where several performance indicators and the costs of purchase and maintenance are expected to be considered simultaneously. This general approach is illustrated through an application example.
Keywords
BPCSPFHMTTRSafety instrumented system (SIS)Mission timeLOPAEUCMDTMOPSISSafety integrityMRTPFDSOPCCFSTRPFsprobability of failure on demandGenetic Algorithms (GA)Genetic algorithmCommon cause failuresSafety integrity levelsafety instrumented systemSilLayer of protection analysisMulti-objective optimization problemInternational Electrotechnical CommissionIEC
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Fares Innal, Yves Dutuit, Mourad Chebila,