Maximization of a nuclear system availability through maintenance scheduling optimization using a genetic algorithm

Nuclear Engineering and Design

Volumn 196, Issue 2, 2000, Pages 219-231

  Lapa, Celso M F ^a   Pereira, Cláudio M N A ^a   Mol, Antônio Carlos De A ^a  

^a INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; AVAILABILITY; GENETIC ALGORITHMS; MAINTENANCE; MATHEMATICAL MODELS; NUCLEAR POWER PLANTS; OPTIMIZATION; PROBABILITY; SCHEDULING; WEIBULL DISTRIBUTION;

MAINTENANCE SCHEDULING; PROBABILISTIC SAFETY ANALYSIS;

PRESSURIZED WATER REACTORS;

EID: 0033899891     PISSN: 00295493     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0029-5493(99)00295-2     Document Type: Article

References (20)

1. Alvarenga M.A.B., Martinez A.S., Schirru R. Adaptive vector quantization optimized by genetic algorithms for real-time diagnosis through fuzzy Sets. Nucl. Technol. 120(3):1997;188-197.
2. Billinton R., Pan J. Optimal maintenance scheduling in a two identical component parallel redundant system. Reliab. Eng. Syst. Saf. 59(3):1997;309-316.
3. Chapot J.L.C., Silva F.C., Schirru R. A new approach to the use of genetic algorithms to solve pressurized water reactor's fuel management optimization problem. Ann. Nucl. Energy. 26(7):1999;641-655.
4. Darwin C. The Origin of Species by Means of Natural Selection. 1859;John Murray, London.
5. DeChaine M.D., Feltus M.A. Nuclear fuel management optimization using genetic algorithms. Nucl. Technol. 111:1995;109-114.
6. Duthie J.C., Robertson M.I., Clayton A.M., Lidbury D.P.G. Risk-based approaches to ageing and maintenance management. Nucl. Eng. Des. 184:1998;27-38.
7. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, USA.
8. Harunuzzaman M., Aldemir T. Optimization of standby safety system maintenance scheduling in nuclear power plants. Nucl. Technol. 113:1996;354-367.
9. Holland, J.H., 1975. Adaptation in Natural and Artificial Systems. University of Michigan, Ann Arbor, MI.
10. Lapa, C.M.F., 1996. Análise de confiabilidade do sistema de água de alimentação auxiliar de Angra-I considerando falhas de causa comum pelo modelo das letras gregas múltiplas. Master Thesis, Nuclear Engineering Department, COPPE/UFRJ, Rio de Janeiro.
11. Lapa, C.M.F., Frutuoso e Melo, P.F., 1996. Indisponibilidade do sistema de água de alimentação auxiliar de Angra-I considerando falhas de causa comum pelo modelo das letras gregas múltiplas. Annals of Equipment Technology Meeting (COTEQ 96), Rio de Janeiro.
12. Lewis E.E. Introduction to Reliability Engineering. 1987;Wiley, New York.
13. Michalewicz Z. Genetic Algorithms+Data Structures=Evolution Programs. 2nd extended ed. 1994;Springer-Verlag, New York.
14. Muñoz A., Martorell S., Serradell V. Genetic algorithms in optimizing surveillance and maintenance of components. Reliab. Eng. Syst. Saf. 57:1997;107-120.
15. Pereira C.M.N.A., Schirru R., e Martinez A.S. Learning an optimized classification system from a data base of time series patterns using genetic algorithm. Ebecken N.F.F. Data Mining. 1st ed. 1998;Computational Mechanics Publications, WIT Press, UK.
16. Pereira C.M.N.A., Schirru R., e Martinez A.S. Basic investigations related to genetic algorithms in core designs. Ann. Nucl. Energy. 26(3):1999;173-193.
17. Safety Group (GSE), 1995. Failure Data Bank Report at Angra-I Nuclear Power Plant. Furnas Centrais Elétricas S.A.
18. Shooman, M.L., 1990. Probabilistic Reliability Engineering Approach. Krieger, R.E. Publishing Company, Malabar.
19. Vaurio J.K. On time-dependent availability and maintenance optimization of standby units under various maintenance policies. Reliab. Eng. Syst. Saf. 56:1997;79-89.
20. Westinghouse Electric Corporation, 1979. Final Safety Analysis Report for Angra-1 Nuclear Power Plant (FSAR).