Modelling and optimization of proof testing policies for safety instrumented systems

Reliability Engineering and System Safety

Volumn 94, Issue 4, 2009, Pages 838-854

  Torres Echeverria A C ^a   Martorell, S ^b   Thompson, H A ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Common cause failure; Diagnostic coverage; Genetic algorithms; IEC 61508; Optimization; Probability of failure on demand; Proof test; Safety system; Spurious trip rate; Test strategy

Indexed keywords

CHEMICAL REACTIONS; CHEMICAL REACTORS; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PARALLEL ARCHITECTURES; PROBABILITY; SAFETY TESTING; SECURITY SYSTEMS; SURVEYING INSTRUMENTS; TESTING;

COMMON CAUSE FAILURE; DIAGNOSTIC COVERAGE; IEC 61508; PROBABILITY OF FAILURE ON DEMAND; PROOF TEST; SAFETY SYSTEM; SPURIOUS TRIP RATE; TEST STRATEGY;

STATISTICAL TESTS;

EID: 59049098384     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2008.09.006     Document Type: Article

References (59)

1. Goble W.M. Control systems safety evaluation & reliability (1998), The Instrumentation, Systems and Automation Society, USA
2. International Electrotechnical Commission. IEC 61508. Functional safety of electrical/electronic/programmable electronic safety-related systems. Parts 1-7, Switzerland, 1998-2005.
3. The Instrumentation, Systems and Automation Society. ISA TR84.0.02. Safety instrumented systems. Safety integrity level evaluation techniques. Draft version 5, Parts 1-5, USA, 1999.
4. Hauge S., Hokstad P., Langseth H., and Oien K. Reliability prediction method for safety instrumented systems. PDS method handbook 2006 edition (2006), SINTEF, Norway
5. Martorell SA, Melia ME, Marti SM, Garcia JS, Soriano-Melchor F, Verdu-Martin G, et al. Análisis del periodo de pruebas optimo en la revisión de especificaciones técnicas de C.N. relativas a STI's. Aplicación a un sistema por dos componentes en paralelo. In: XIV annual meeting of the Spanish Nuclear Society. Marbella, Spain, 1988.
6. Martorell S.A., Serradell V.G., and Samanta P.K. Improving allowed outage time and surveillance test interval requirements: a study of their interactions using probabilistic methods. Reliab Eng Syst Saf 47 2 (1995) 119-129
7. Cepin M., and Mavko B. Probabilistic safety assessment improves surveillance requirements in technical specifications. Reliab Eng Syst Saf 56 1 (1997) 69-77
8. Cepin M. Optimization of safety equipment outages improves safety. Reliab Eng Syst Saf 77 1 (2002) 71-80
9. International Electrotechnical Commission. IEC 61511. Functional safety-safety instrumented systems for the process industry sector. Parts 1-3, Switzerland, 2003.
10. The Norwegian Industry Association. OLF-070. Application of IEC 61508 and IEC 61511 in the Norwegian Petroleum Industry, Norway, 2004.
11. The Instrumentation, Systems and Automation Society 1996. ISA S84.01-1996. Application of safety instrumented systems for the process industry, USA, 1996.
12. American Petroleum Institute. API RP 14C. Recommended practice analysis, design, installation, and testing of basic surface safety systems for offshore production platforms, 7th ed. Washington, DC, USA, 2001.
13. Samanta P., Kim I.S., Mankamo T., and Vesely W.E. Handbook of methods for risk-based analyses of technical specifications, NUREG/CR-6141 (1994), Nuclear Regulatory Commission, USA
14. Health and Safety Executive. Principles for proof testing of safety instrumented systems in the chemical industry. Contract research report 428/2002. Sheffield, UK, 2002.
15. Uryas'ev S., and Vallerga H. Optimization of test strategies: a general approach. Reliab Eng Syst Saf 41 2 (1993) 155-165
16. Schofield S.L. Optimisation of proof test intervals in fault tree analysis. Reliab Eng Syst Saf 41 2 (1993) 127-133
17. Vaurio J.K. The theory and quantification of common cause shock events for redundant standby systems. Reliab Eng Syst Saf 43 3 (1994) 289-305
18. Vaurio J.K. Optimization of test and maintenance intervals based on risk and cost. Reliab Eng Syst Saf 49 1 (1995) 23-26
19. Hokstad P., Flotten P., Holmstrom S., McKenna F., and Onshus T. A reliability model for optimization of test schemes for fire and gas detectors. Reliab Eng Syst Saf 47 1 (1995) 15-25
20. Bukowski J.V. Modeling and analyzing the effects of periodic inspection on the performance of safety-critical systems. IEEE Trans Reliab 50 3 (2001) 321-329
21. Vaurio J.K. Common cause failure probabilities in standby safety system fault tree analysis with testing-scheme and timing dependencies. Reliab Eng Syst Saf 79 1 (2003) 43-57
22. Lapa C.M.F., Pereira C.M.N.A., and Frutuoso e Melo P.F. Surveillance test policy optimization through genetic algorithms using non-periodic intervention frequencies and considering seasonal constraints. Reliab Eng Syst Saf 81 1 (2003) 103-109
23. Courtois P.J., and Delsarte P. On the optimal scheduling of periodic tests and maintenance for reliable redundant components. Reliab Eng Syst Saf 91 1 (2006) 66-72
24. Kim I.S., Martorell S., Vesely W.E., and Samanta P.K. Quantitative evaluation of surveillance test intervals including test-caused risks. NUREG/CR-5775, BNLNUREG-52296 (1992), Brookhaven National Laboratory, New York, USA
25. Kim I.S., Martorell S., Vesely W.E., and Samanta P.K. Risk analysis of surveillance requirements including their adverse effects. Reliab Eng Syst Saf 45 3 (1994) 225-234
26. Zhao J., Chan A.H.C., Roberts C., and Madelin K.B. Reliability evaluation and optimization of imperfect inspections for a component with multi-defects. Reliab Eng Syst Saf 92 1 (2007) 65-73
27. Lundteigen M.A., and Rausand M. Spurious activation of safety instrumented systems in the oil and gas industry: basic concepts and formulas. Reliab Eng Syst Saf 93 8 (2008) 1208-1217
28. Pattison R.L., and Andrews J.D. Genetic algorithms in optimal safety system design. Proc IMechE PtE; J Proc Mech Eng 213 (1999) 187-197
29. Martorell S., Carlos S., Sanchez A., and Serradell V. Constrained optimization of test intervals using a steady-state genetic algorithm. Reliab Eng Syst Saf 67 3 (2000) 215-232
30. Marseguerra M., and Zio E. Optimizing maintenance and repair policies via combination of genetic algorithms and Monte Carlo simulation. Reliab Eng Syst Saf 68 1 (2000) 69-83
31. Busacca P.G., Marseguerra M., and Zio E. Multiobjective optimization by genetic algorithms: application to safety systems. Reliab Eng Syst Saf 72 1 (2001) 59-74
32. Martorell S., Sanchez A., Carlos S., and Serradell V. Simultaneous and multi-criteria optimization of TS requirements and maintenance at NPPs. Ann Nucl Energy 29 2 (2002) 147-168
33. Andrews J.D., and Bartlett L.M. Genetic algorithm optimisation of a firewater deluge system. Qual Reliab Eng Int 19 1 (2003) 39-52
34. Vinod G., Kushwaha H.S., Verma A.K., and Srividya A. Optimization of ISI interval using genetic algorithms for risk informed in-service inspection. Reliab Eng Syst Saf 86 3 (2004) 307-316
35. Martorell S., Sánchez A., Carlos S., and Serradell V. Alternatives and challenges in optimizing industrial safety using genetic algorithms. Reliab Eng Syst Saf 86 1 (2004) 25-34
36. Martorell S., Villanueva J.F., Carlos S., Nebot Y., Sánchez A., Pitchard J.L., et al. RAMS+C informed decision-making with application to multi-objective optimization of technical specifications and maintenance using genetic algorithms. Reliab Eng Syst Saf 87 1 (2005) 65-75
37. Martorell S, Carlos S, Villanueva JF, Sanchez AI, Cepin M. Optimization of surveillance requirements at NPP considering time-dependent scheduling of tests and preventive maintenance. In: Kolowroki K, editor. Proceedings of the European safety and reliability conference ESREL '05. Tri City, Poland, 2005. p. 1363-70.
38. Martorell S., Carlos S., Villanueva J.F., Sanchez A.I., Galvan B., Salazar D., et al. Use of multiple objective evolutionary algorithms in optimizing surveillance requirements. Reliab Eng Syst Saf 91 9 (2006) 1027-1038
39. Torres-Echeverria A.C., and Thompson H.A. Multi-objective genetic algorithm for optimization of system safety and reliability based on IEC 61508 requirements: a practical approach. Proc IMechE PtO: J Risk Reliab 221 O3 (2007) 193-205
40. Torres-Echeverria A.C., Martorell S., and Thompson H.A. Design optimization of a safety instrumented system based on RAMS+C addressing IEC 61508 requirements and diverse redundancy. Reliab Eng Syst Saf (2008) 10.1016/j.ress.2008.02.010
41. Cepin M. Sequential versus staggered testing towards dynamic PSA. In: Proceedings of the second regional meeting on nuclear energy in Central Europe. Portoroz, Slovenia, 1995. p. 184-9.
42. Mosleh A., Fleming K.N., Parry G.W., Paula H.M., Worledge D.H., and Rasmuson D.M. Procedures for treating common cause failures in safety and reliability studies. NUREG/CR-4780 (EPRI NP-5613) (1988), Nuclear Regulatory Commission, USA
43. Torres-Echeverria AC, Martorell S, Thompson HA. Modelling test strategies effects on the probability of failure on demand for safety instrumented systems. In: Martorell S, Guedes-Soares C, Barnett J, editors. Proceedings of the European safety and reliability conference ESREL '08 and 17th ESRA-Europe. Valencia, Spain, 2008. p. 1881-9.
44. Deb K. Multiobjective optimization using evolutionary algorithms (2001), Wiley, Chichester, UK
45. Haupt R.L., and Haupt S.E. Practical genetic algorithms (2004), Wiley, New Jersey, USA
46. Marseguerra M., Zio E., and Martorell S. Basics of genetic algorithms optimization for RAMS applications. Reliab Eng Syst Saf 91 9 (2006) 977-991
47. Konak A., Coit D.W., and Smith A.E. Multi-objective optimization using genetic algorithms: a tutorial. Reliab Eng Syst Saf 91 9 (2006) 992-1007
48. Coello-Coello C.A. Evolutionary multi-objective optimization: a historical view of the field. IEEE Comput Intell Mag 1 1 (2006) 28-36
49. Greiner D., Galvan B., and Winter G. Safety systems optimum design by multicriteria evolutionary algorithms. In: Fonseca C.M., et al. (Ed). Proceedings of the evolutionary multi-criterion optimization conference, Faro, Portugal, 2003. Lecture Notes in Computer Science no. 2632 (2003), Springer, London 722-736
50. Deb K., Agrawal S., Pratab A., and Meyarivan T. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Marc Schoenauer, et al. (Ed). Proceedings of the parallel problem solving from nature sixth conference. Paris, France, 2000. Lecture Notes in Computer Science no. 1917 (2000), Springer, London 585
51. Deb K., Agrawal S., Pratab A., and Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolutionary Comp 6 2 (2002) 182-197
52. Deb K., and Goel T. Controlled elitist non-dominated sorting genetic algorithms for better convergence. In: Zitzler E. (Ed). Proceedings of the first international conference on evolutionary multi-criterion optimization 2001. Zurich, Germany, 2001. Lecture Notes in Computer Science no. 1993 (2001), Springer, London 67-81
53. Chipperfield A, Fleming P, Polheim H, Fonseca C. Genetic algorithm toolbox user's guide. Research report 512, University of Sheffield, UK, 1994.
54. Billings S.A., and Zheng G.L. Radial basis function network configuration using genetic algorithms. Neural Networks 8 6 (1995) 877-886
55. Weile D.S., and Michielsen E. Integer coded Pareto genetic algorithm design of constrained antenna arrays. Electron Lett 32 19 (1996) 1744-1745
56. Tao H, Liao G, Wang L. Integer coded genetic algorithm design of staggered sampling MTI. In: Proceedings of the IEEE international conference on neural networks and signal processing, Nanging, China, 2003, vol. 1. p. 558-62.
57. Damousis I.G., Bakirtzis A.G., and Dokopoulos P.S. A solution to the unit-commitment problem using integer-coded genetic algorithm. IEEE Trans Power Syst 19 2 (2004) 1165-1172
58. Li F., Pilgrim J.D., Dabeedin C., Chebbo A., and Aggarwal R.K. Genetic algorithms for optimal reactive power compensation on the National Grid System. IEEE Trans Power Syst 20 1 (2005) 493-496
59. Mulenbein H., and Schlierkamp-Voosen. Predictive models for the breeder genetic algorithm. Evolutionary Comput 1 1 (1993) 25-49