Optimization of test interval for ageing equipment: A multi-objective genetic algorithm approach

Journal of Loss Prevention in the Process Industries

Volumn 24, Issue 4, 2011, Pages 397-404

  Kančev, Duško ^a   Gjorgiev, Blaže ^a   Čepin, Marko ^b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Aging data uncertainty; Genetic algorithm; Multi objective optimization; Optimal surveillance test interval; Probabilistic safety assessment; Surveillance requirements

Indexed keywords

DATA UNCERTAINTY; MULTI OBJECTIVE; OPTIMAL SURVEILLANCE TEST INTERVAL; PROBABILISTIC SAFETY ASSESSMENT; SURVEILLANCE REQUIREMENTS;

ACCIDENT PREVENTION; COMPUTER SIMULATION; DECISION MAKING; GENETIC ALGORITHMS; MAINTAINABILITY; MONITORING; MONTE CARLO METHODS; NUCLEAR INDUSTRY; NUCLEAR POWER PLANTS; RATING; SECURITY SYSTEMS; SPECIFICATIONS; TESTING; UNCERTAINTY ANALYSIS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79956354471     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2011.02.003     Document Type: Article

References (51)

1. Basu M. Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II. International Journal of Electrical Power & Energy Systems 2008, 30:140-149.
2. Borgonovo E., Marseguerra M., Zio E. A Monte Carlo methodological approach to plant availability modeling with maintenance, aging and obsolescence. Reliability Engineering & System Safety 2000, 67:61-73.
3. Bunea C., Bedford T. The effect of model uncertainty on maintenance optimization. IEEE Transactions on Reliability 2002, 51:486-493.
4. Busacca P.G., Marseguerra M., Zio E. Multiobjective optimization by genetic algorithms: application to safety systems. Reliability Engineering & System Safety 2001, 72:59-74.
5. Cavicchio D.J. Adaptive search using simulated evolution 1970, University of Michigan.
6. Cepin M. Optimization of safety equipment outages improves safety. Reliability Engineering & System Safety 2002, 77:71-80.
7. Cepin M., Martorell S. Evaluation of allowed outage time considering a set of plant configurations. Reliability Engineering & System Safety 2002, 78:259-266.
8. Cepin M., Mavko B. Probabilistic safety assessment improves surveillance requirements in technical specifications. Reliability Engineering & System Safety 1997, 56:69-77.
9. Coello C.A.C. An updated survey of evolutionary multiobjective optimization techniques: State of the art and future trends 1999, Congress on Evolutionary Computation, Washington D.C., USA.
10. Coello C.A.C. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Computer Methods in Applied Mechanics and Engineering 2002, 191:1245-1287.
11. Courtois P.-J., Delsarte P. On the optimal scheduling of periodic tests and maintenance for reliable redundant components. Reliability Engineering & System Safety 2006, 91:66-72.
12. Deb K. Multi-objective optimization using evolutionary algorithms 2004, John Wiley & Sons, Ltd, Chichester, England.
13. Durga Rao K., Gopika V., Kushwaha H.S., Verma A.K., Srividya A. Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach. Reliability Engineering & System Safety 2007, 92:895-901.
14. Ghosh D., Roy S. Maintenance optimization using probabilistic cost-benefit analysis. Journal of Loss Prevention in the Process Industries 2009, 22:403-407.
15. Harunuzzaman M., Aldemir T. Optimization of standby safety system maintenance schedules in nuclear power plants. Nuclear Technology 1996, 113:354-367.
16. Haupt R.L., Haupt S.E. Practical genetic algorithms 2004, John Wiley & Sons, Ltd, Hoboken, New Jersey, USA.
17. Hu H., Cheng G., Li Y., Tang Y. Risk-based maintenance strategy and its applications in a petrochemical reforming reaction system. Journal of Loss Prevention in the Process Industries 2009, 22:392-397.
18. Kancev D., Cepin M. Evaluation of risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components. Journal of Loss Prevention in the Process Industries 2011, 24:146-155.
19. Khan F.I., Haddara M.M. Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning. Journal of Loss Prevention in the Process Industries 2003, 16:561-573.
20. Krishnasamy L., Khan F., Haddara M. Development of a risk-based maintenance (RBM) strategy for a power-generating plant. Journal of Loss Prevention in the Process Industries 2005, 18:69-81.
21. Kumar S., Naresh R. Efficient real coded genetic algorithm to solve the non-convex hydrothermal scheduling problem. International Journal of Electrical Power & Energy Systems 2007, 29:738-747.
22. Levy I.S., Wreathall J., DeMoss G., Wolford A.J., Collins E.P., Jarrell D.B. Prioritization of TIRGALEX recommended components for further aging research, NUREG/CR-5248 1988, US NRC, Washington, DC.
23. Mankamo T., Samanta P., Tjader T.R. Risk based optimization of technical specifications for operation of nuclear power plants, IAEA-TECDOC-729 1993, IAEA, Vienna.
24. Marseguerra M., Zio E., Podofillini L. A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system. Reliability Engineering & System Safety 2004, 84:87-99.
25. Marseguerra M., Zio E., Podofillini L. Optimal reliability/availability of uncertain systems via multi-objective genetic algorithms. IEEE Transactions on Reliability 2004, 53:424-434.
26. Marseguerra M., Zio E., Podofillini L., Coit D.W. Optimal design of reliable network systems in presence of uncertainty. IEEE Transactions on Reliability 2005, 54:243-253.
27. Martorell S., Serradell V., Samanta P.K. Improving allowed outage time and surveillance test interval requirements: a study of their interactions using probabilistic methods. Reliability Engineering & System Safety 1995, 47:119-129.
28. Martorell S., Carlos S., Sánchez A., Serradell V. Constrained optimization of test intervals using a steady-state genetic algorithm. Reliability Engineering & System Safety 2000, 67:215-232.
29. Martorell S., Sánchez A., Carlos S., Serradell V. Comparing effectiveness and efficiency in technical specifications and maintenance optimization. Reliability Engineering & System Safety 2002, 77:281-289.
30. Martorell S., Sánchez A., Carlos S., Serradell V. Simultaneous and multi-criteria optimization of TS requirements and maintenance at NPPs. Annals of Nuclear Energy 2002, 29:147-168.
31. 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. Reliability Engineering & System Safety 2006, 91:1027-1038.
32. Martorell S., Sanchez A., Carlos S. A tolerance interval based approach to address uncertainty for RAMS+C optimization. Reliability Engineering & System Safety 2007, 92:408-422.
33. Martorell S., Sanchez A., Serradell V. Age-dependent reliability model considering effects of maintenance and working conditions. Reliability Engineering & System Safety 1999, 64:19-31.
34. Mishra A., Patwardhan A., Verma A.K. Safety management in NPPs using an evolutionary algorithm technique. Nuclear Engineering and Design 2007, 237:1445-1451.
35. Munõz A., Martorell S., Serradell V. Genetic algorithms in optimizing surveillance and maintenance of components. Reliability Engineering & System Safety 1997, 57:107-120.
36. Painton L., Campbell J. Genetic algorithms in optimization of system reliability. IEEE Transactions on Reliability 1995, 44:172-178.
37. Reniers G. An optimizing hazard/risk analysis review planning (HARP) framework for complex chemical plants. Journal of Loss Prevention in the Process Industries 2009, 22:133-139.
38. Rocco C.M., Miller A.J., Moreno J.A., Carrasquero N., Medina M. Sensitivity and uncertainty analysis in optimization programs using an evolutionary approach: a maintenance application. Reliability Engineering & System Safety 2000, 67:249-256.
39. Rocco C.M., Moreno J.A., Carrasquero N. Robust design using a hybrid-cellular-evolutionary and interval-arithmetic approach: a reliability application. Reliability Engineering & System Safety 2003, 79:149-159.
40. Samanta P.K., Kim I.S., Mankamo T., Vesely W.E. Handbook of methods for risk-based analyses of technical specifications, NUREG/CR-6141 1994, US NRC, Washington, DC.
41. Sanchez A., Carlos S., Martorell S., Villanueva J.F. Addressing imperfect maintenance modelling uncertainty in unavailability and cost based optimization. Reliability Engineering & System Safety 2009, 94:22-32.
42. Torres-Echeverría A.C., Martorell S., Thompson H.A. Modelling and optimization of proof testing policies for safety instrumented systems. Reliability Engineering & System Safety 2009, 94:838-854.
43. USNRC Use of probabilistic safety assessment methods in nuclear activities: Final policy statement 1995, US NRC Federal Register.
44. USNRC An approach for using probabilistic risk assessment in risk-informed decisions on plant-specific changes to the current licensing basis, US NRC Regulatory guide 1.174 1998, US NRC, Washington, DC.
45. Vaurio J.K. Availability of redundant safety systems with common-mode and undetected failures. Nuclear Engineering and Design 1980, 58:415-424.
46. Vaurio J.K. Optimization of test and maintenance intervals based on risk and cost. Reliability Engineering & System Safety 1995, 49:23-36.
47. Vesely W.E. Approaches for age-dependent probabilistic safety assessments with emphasis on prioritization and sensitivity studies, NUREG/CR-5587 1992, US NRC, Washington, DC.
48. Vesely W.E., Apostalakis G.E. Developments in risk-informed decision-making for nuclear power plants. Reliability Engineering & System Safety 1999, 63:223-224.
49. Vesely W.E., Kurth R.E., Scalzo S.M. Evaluations of core melt frequency effects due to component aging and maintenance, NUREG/CR-5510 1990, US NRC, Washington, DC.
50. Vinod G., Kushwaha H.S., Verma A.K., Srividya A. Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection. Reliability Engineering & System Safety 2004, 86:307-316.
51. Volkanovski A., Cepin M., Mavko B. Nuclear power plant maintenance optimization. Proceedings and Monographs in Engineering, Water and Earth Sciences, ESREL 2009 2009, Vol. 3. Taylor & Francis, Prague, Czech Republic, 2010, pp. 2151-2147. R. Bris (Ed.).