Analyzing probability of detection as a function of defect size and depth in pulsed IR thermography
| dc.contributor.author | Moskovchenko, Alexey | |
| dc.contributor.author | Švantner, Michal | |
| dc.contributor.author | Vavilov, Vladimir | |
| dc.contributor.author | Chulkov, Arsenii | |
| dc.date.accessioned | 2022-09-12T10:00:26Z | |
| dc.date.available | 2022-09-12T10:00:26Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract-translated | This study introduces a novel approach to the presentation of the probability of detection (POD) function in infrared (IR) thermographic nondestructive testing. The modified POD is suggested as a function of two defect parameters, namely, defect depth and lateral size. The proposed approach is based on calculating theoretical values of maximum temperature contrast for many defect size/depth combinations by using an appropriate analytical model. Furthermore, these values are used for the quantification of defects to produce predicted POD curves by applying a signal/response method. The results appear as the POD maps illustrating detectability of defects with various size/depth combinations. By setting a particular POD threshold, for example, 90%, the detectability limit contours can be obtained. These contours illustrate the limiting combinations of the depth and diameter of the defects, which can be detected with a required probability of correct detection under a particular temperature signal threshold. The proposed methodology is illustrated with an example of using the POD approach in pulsed IR thermographic inspection of a 3D printed specimen with artificial sphere-like defects. Such an approach allows predicting the detectability of defects in a vast range of depth/size ratios by using an analytical model and a limited number of experiments. | en |
| dc.format | 9 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | MOSKOVCHENKO, A. ŠVANTNER, M. VAVILOV, V. CHULKOV, A. Analyzing probability of detection as a function of defect size and depth in pulsed IR thermography. NDT & E INTERNATIONAL, 2022, roč. 130, č. SEP 2022, s. nestránkováno. ISSN: 0963-8695 | cs |
| dc.identifier.document-number | 810428900002 | |
| dc.identifier.doi | 10.1016/j.ndteint.2022.102673 | |
| dc.identifier.issn | 0963-8695 | |
| dc.identifier.obd | 43936540 | |
| dc.identifier.uri | 2-s2.0-85131260947 | |
| dc.identifier.uri | http://hdl.handle.net/11025/49651 | |
| dc.language.iso | en | en |
| dc.project.ID | EF18_069/0010018/LabIR-PAV / Předaplikační výzkum infračervených technologií | cs |
| dc.publisher | Elsevier | en |
| dc.relation.ispartofseries | Ndt & E International | en |
| dc.rights | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. | cs |
| dc.rights | © Elsevier | en |
| dc.rights.access | restrictedAccess | en |
| dc.subject.translated | Defect depth | en |
| dc.subject.translated | Detectability | en |
| dc.subject.translated | Infrared thermography | en |
| dc.subject.translated | Probability of detection | en |
| dc.title | Analyzing probability of detection as a function of defect size and depth in pulsed IR thermography | en |
| dc.type | článek | cs |
| dc.type | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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