Model Assisted Probability of Detection curves: New statistical tools and progressive methodology
Overview & Synopsis
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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Document Information
| Document Title | Model Assisted Probability of Detection curves: New statistical tools and progressive methodology |
|---|---|
| Author / Organization | Loïc Le Gratiet, Bertrand Iooss, Géraud Blatman, Thomas Browne, Sara Cordeiro, Benjamin Goursaud |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2017 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-243378 |
| Original Source Link | Visit Source Page on hal.science » |