Application of a Bayesian model for the quantification of the European methodology for qualification of non-destructive testing

Luca Gandossi (Corresponding Author), Kaisa Simola, Barrie Shepherd

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

The European methodology for qualification of non-destructive testing is a well-established approach adopted by nuclear utilities in many European countries. According to this methodology, qualification is based on a combination of technical justification and practical trials. The methodology is qualitative in nature, and it does not give explicit guidance on how the evidence from the technical justification and results from trials should be weighted. A Bayesian model for the quantification process was presented in a previous paper, proposing a way to combine the “soft” evidence contained in a technical justification with the “hard” evidence obtained from practical trials. This paper describes the results of a pilot study in which such a Bayesian model was applied to two realistic Qualification Dossiers by experienced NDT qualification specialists. At the end of the study, recommendations were made and a set of guidelines was developed for the application of the Bayesian model.

Original languageEnglish
Pages (from-to)111-116
JournalInternational Journal of Pressure Vessels and Piping
Volume87
Issue number2-3
DOIs
Publication statusPublished - 2010
MoE publication typeA1 Journal article-refereed

Fingerprint

Nondestructive examination

Keywords

  • Inspection qualification
  • inspection reliability
  • probability of detection
  • NDT
  • Bayesian modelling
  • ENIQ

Cite this

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title = "Application of a Bayesian model for the quantification of the European methodology for qualification of non-destructive testing",
abstract = "The European methodology for qualification of non-destructive testing is a well-established approach adopted by nuclear utilities in many European countries. According to this methodology, qualification is based on a combination of technical justification and practical trials. The methodology is qualitative in nature, and it does not give explicit guidance on how the evidence from the technical justification and results from trials should be weighted. A Bayesian model for the quantification process was presented in a previous paper, proposing a way to combine the “soft” evidence contained in a technical justification with the “hard” evidence obtained from practical trials. This paper describes the results of a pilot study in which such a Bayesian model was applied to two realistic Qualification Dossiers by experienced NDT qualification specialists. At the end of the study, recommendations were made and a set of guidelines was developed for the application of the Bayesian model.",
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Application of a Bayesian model for the quantification of the European methodology for qualification of non-destructive testing. / Gandossi, Luca (Corresponding Author); Simola, Kaisa; Shepherd, Barrie.

In: International Journal of Pressure Vessels and Piping, Vol. 87, No. 2-3, 2010, p. 111-116.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Gandossi, Luca

AU - Simola, Kaisa

AU - Shepherd, Barrie

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AB - The European methodology for qualification of non-destructive testing is a well-established approach adopted by nuclear utilities in many European countries. According to this methodology, qualification is based on a combination of technical justification and practical trials. The methodology is qualitative in nature, and it does not give explicit guidance on how the evidence from the technical justification and results from trials should be weighted. A Bayesian model for the quantification process was presented in a previous paper, proposing a way to combine the “soft” evidence contained in a technical justification with the “hard” evidence obtained from practical trials. This paper describes the results of a pilot study in which such a Bayesian model was applied to two realistic Qualification Dossiers by experienced NDT qualification specialists. At the end of the study, recommendations were made and a set of guidelines was developed for the application of the Bayesian model.

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