Using Markov Chain Monte Carlo methods to solve full Bayesian modeling of PWR vessel flaw distributions-Reference-Cited by-同舟云学术

Using Markov Chain Monte Carlo methods to solve full Bayesian modeling of PWR vessel flaw distributions

Published:1999-12 Issue:3 Volume:66 Page:243-252
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Celeux G.,Persoz M.,Wandji J.N.,Perrot F.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference14 articles.

1. Foulds JR, Kennedy EL, Basin SL, Rosinski ST. Flaw distribution development from vessel ISI data. Proceedings of the 11th International Conference on NDE in the Nuclear and Pressure Vessel Industries, 1992, pp. 101–109.

2. Ammirato F, Dimitrijevic V. Development of post-inspection flaw distribution from ISI data. Proceedings of the 12th International Conference on NDE in the Nuclear and Pressure Vessel Industries, 1993, pp. 365–371.

3. Ammirato F, Becker L, Lance J, Dimitrijevic V, Liu SN. Flaw distribution and use of ISI data in RPV integrated evaluations. Proceedings of the 11th International Conference on NDE in the Nuclear and Pressure Vessel Industries, 1992, pp. 111–119.

4. Markov Chains Monte Carlo in practice;Gilks,1996

5. Temple JAG. The reliability of non-destructive detection and sizing. PhD dissertation. Atomic Energy Research Establishment, Harwell, Oxfordshire, 1982 C152/82.

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