Model Assisted Probability of Detection curves: New statistical tools and progressive methodology

Abstract : The Probability Of Detection (POD) curve is a standard tool in several industries to evaluate the performance of Non Destructive Testing (NDT) procedures for the detection of harmful defects for the inspected structure. Due to new capabilities of NDT process numerical simulation , Model Assisted Probability of Detection (MAPOD) approaches have also been recently developed. In this paper, a generic and progressive MAPOD methodology is proposed. Limits and assumptions of the classical methods are enlightened, while new metamodel-based methods are proposed. They allow to access to relevant information based on sensitivity analysis of MAPOD inputs. Applications are performed on Eddy Current Non Destructive Examination numerical data.
Type de document :
Pré-publication, Document de travail
2016
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https://hal.archives-ouvertes.fr/hal-01260335
Contributeur : Bertrand Iooss <>
Soumis le : vendredi 22 janvier 2016 - 00:26:48
Dernière modification le : jeudi 20 juillet 2017 - 09:27:11
Document(s) archivé(s) le : samedi 23 avril 2016 - 10:13:27

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  • HAL Id : hal-01260335, version 1
  • ARXIV : 1601.05914

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Loïc Le Gratiet, Bertrand Iooss, Géraud Blatman, Thomas Browne, Sara Cordeiro, et al.. Model Assisted Probability of Detection curves: New statistical tools and progressive methodology. 2016. 〈hal-01260335〉

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