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Safety Instrumented Systems (SIS) play a key role in process industry to achieve safety. One of the most important criteria for SIS design is the requirement that the user assigns and verify Safety Integrity Level (SIL) of SIS. This paper proposes a new possibilist importance measure to reduce the SIL uncertainty when the SIS components failure probabilities are uncertain.
Czasopismo
Rocznik
Tom
Strony
411--419
Opis fizyczny
Bibliogr. 14 poz., tab., rys.
Twórcy
Bibliografia
- [1] ANSI/ISA-S84.01-1996. Application of Safety Instrumented Systems for the process control industry. Instrumentation Society of America (ISA), 1996.
- [2] IEC 61508. Functional safety of Electrical/Electronic/Programmable Electronic (E/E/PE) safety related systems. International Electrotechnical Commission (IEC), 1998.
- [3] IEC 61511. Functional safety: Safety Instrumented Systems for the process industry sector. International Electrotechnical Commission (IEC), 2000.
- [4] ISA-TR84.00.02-2002. Safety Instrumented Fonctions (SIF), Safety Integrity Level (SIL), Evaluation Techniques. Instrumentation Society of America (ISA), 2002.
- [5] Summers A. E. Viewpoint on ISA TR84.0.02 : simplified methods and fault tree analysis. ISA Transactions, 39:125-131, 2002.
- [6] Beckman L. Expanding the applicability of ISA TR84.02 in the field. ISA Transactions, 39:357-361, 2000.
- [7] Wang Y, West H. H, Mannan M. S. The impact of data uncertainty in determining Safety Integrity Level. Process Safety and Environmental Protection, 82:393-397, 2004.
- [8] Sallak M, Simon C, Aubry J-F. Evaluating Safety Integrity Level in presence of uncertainty. KonBin 06, Poland, 2006.
- [9] Birnbaum Z. W. On the importance of different components in a multicomponent system. In Multivariate Analysis II. P. R. Krishnaiah, Ed, N. Y:Academic, 1969.
- [10] Lambert H. E. Measures of importance of events and cut sets in fault trees. Reliability and Fault Tree Analysis, pages 77-100, 1975.
- [11] Barlow B. E, Proshan F. Importance of system components and fault tree analysis. Operations Research Center, Univ. of California, Berkeley, 1973.
- [12] Furuta H, Shiraishi N. Fuzzy importance in fault tree analysis. Fuzzy Sets and Systems, 12:205-213, 1984.
- [13] Liang G.S, Wang M.J.J. Fuzzy fault tree analysis using failure possibility. Microelectronics and Reliability, 33:583-597, 1993.
- [14] Suresh P.V, Babar A.K, Venkat Raj V. Uncertainty in fault tree analysis: a fuzzy approach. Fuzzy Sets and Systems, 83:205-213, 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7657882d-b45e-4a37-85ac-3ce0479d71a3