Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection

Reliability Engineering and System Safety

Volumn 86, Issue 3, 2004, Pages 307-316

  Vinod, Gopika ^a   Kushwaha, H S ^a   Verma, A K ^b   Srividya, A ^b  

^a BHABHA ATOMIC RESEARCH CENTRE   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Genetic algorithms; Markov model; Optimization; Risk informed in service inspection

Indexed keywords

DECISION MAKING; GENETIC ALGORITHMS; LOSS OF COOLANT ACCIDENTS; MARKOV PROCESSES; MATHEMATICAL MODELS; NUCLEAR POWER PLANTS; OPTIMIZATION;

MARKOV MODELS; POPULATION DIVERSITY; PRESSURIZED HEAVY WATER REACTORS (PHWR); RISK INFORMED IN-SERVICE INSPECTION;

RISK MANAGEMENT;

EID: 4344620825     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2004.02.004     Document Type: Article

References (6)

1. CAN/CSA-N-285.4, Periodic Inspection of CANDU Nuclear Power Plant components.
2. Fleming K.N., Gosselin S., Mitman J. Application of Markov models and service data to evaluate the influence of inspection on pipe rupture frequencies. Proceedings of the ASME Pressure Vessels and Piping Conference, Boston. August 1-5 1999.
3. Lydell B.O.Y. Pipe failure probability - the Thomas paper revisited. Reliab Engng Syst Safety. 68:2000;207-217.
4. Martorell S., Carlos S., Sanchez A., Serradell V. Constrained optimization of test intervals using a steady-state genetic algorithm. Reliab Engng Syst Safety. 67:2000;215-232.
5. Giuggioli Busacca P., Marseguerra M., Zio E. Multiobjective optimization by genetic algorithms: application to safety systems. Reliab Engng Syst Safety. 72:2001;59-74.
6. Goldberg D.E. Genetic algorithms in search, optimisation, and machine learning. 1989;Addison-Wesley, Reading, MA.