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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.
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https://hal.archives-ouvertes.fr/hal-01260335
Contributor : Bertrand Iooss <>
Submitted on : Friday, January 22, 2016 - 12:26:48 AM
Last modification on : Friday, March 27, 2020 - 2:38:32 AM
Document(s) archivé(s) le : Saturday, April 23, 2016 - 10:13:27 AM

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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. Journal of Nondestructive Evaluation, Springer Verlag, 2017, 36 (1). ⟨hal-01260335⟩

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