Probability of detection analysis of round robin test results performed by flash thermography

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Standard

Probability of detection analysis of round robin test results performed by flash thermography. / Rothbart, Nick; Maierhofer, Christiane; Goldammer, Matthias et al.
in: Quantitative infra red thermography (QIRT Journal), Jahrgang 14.2017, Nr. 1, 06.2017, S. 1-23.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Harvard

Rothbart, N, Maierhofer, C, Goldammer, M, Hohlstein, F, Koch, J, Kryukov, I, Mahler, G, Stotter, B, Walle, G, Oswald-Tranta, B & Sengebusch, M 2017, 'Probability of detection analysis of round robin test results performed by flash thermography', Quantitative infra red thermography (QIRT Journal), Jg. 14.2017, Nr. 1, S. 1-23. https://doi.org/10.1080/17686733.2016.1229246

APA

Rothbart, N., Maierhofer, C., Goldammer, M., Hohlstein, F., Koch, J., Kryukov, I., Mahler, G., Stotter, B., Walle, G., Oswald-Tranta, B., & Sengebusch, M. (2017). Probability of detection analysis of round robin test results performed by flash thermography. Quantitative infra red thermography (QIRT Journal), 14.2017(1), 1-23. https://doi.org/10.1080/17686733.2016.1229246

Vancouver

Rothbart N, Maierhofer C, Goldammer M, Hohlstein F, Koch J, Kryukov I et al. Probability of detection analysis of round robin test results performed by flash thermography. Quantitative infra red thermography (QIRT Journal). 2017 Jun;14.2017(1):1-23. Epub 2016 Sep 16. doi: 10.1080/17686733.2016.1229246

Author

Rothbart, Nick ; Maierhofer, Christiane ; Goldammer, Matthias et al. / Probability of detection analysis of round robin test results performed by flash thermography. in: Quantitative infra red thermography (QIRT Journal). 2017 ; Jahrgang 14.2017, Nr. 1. S. 1-23.

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@article{dbc3e085cd8b4b07a61d6db906a37ea8,
title = "Probability of detection analysis of round robin test results performed by flash thermography",
abstract = "Within the scope of a standardisation research project, a flash thermography round robin test that evaluates reliability, comparability and efficiency of different testing situations was performed. Data recorded at metal test specimens with flat bottom holes (FBHs) were analysed by calculating the signal-to-noise ratio (SNR) of the defect signatures in the thermograms as well as in the phase images as a function of defect parameters. A new multi-parameter probability of detection (POD) model was developed, where an {\^a} versus a continuous signal analysis was based on the linear relationship between the SNR and a multi-parameter a. This linear relationship was verified by comparison to data obtained from an analytical model that is considering lateral thermal heat diffusion as well as to data obtained by numerical simulation. The resulting POD curves for the thermograms and phase images give an estimation for the detectability of the FBHs with known geometry in steel using different equipment and obtained by different participants. By comparing the SNRs of FBHs with similar geometries, this POD model was transferred to aluminium and copper as well.",
keywords = "Active thermography, flash excitation, signal-to-noise ratio, round robin test, multi-parameter POD",
author = "Nick Rothbart and Christiane Maierhofer and Matthias Goldammer and Felix Hohlstein and Joachim Koch and Igor Kryukov and Guido Mahler and Bernhard Stotter and G{\"u}nter Walle and Beata Oswald-Tranta and Martin Sengebusch",
year = "2017",
month = jun,
doi = "10.1080/17686733.2016.1229246",
language = "English",
volume = "14.2017",
pages = "1--23",
journal = "Quantitative infra red thermography (QIRT Journal)",
issn = "1768-6733",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Probability of detection analysis of round robin test results performed by flash thermography

AU - Rothbart, Nick

AU - Maierhofer, Christiane

AU - Goldammer, Matthias

AU - Hohlstein, Felix

AU - Koch, Joachim

AU - Kryukov, Igor

AU - Mahler, Guido

AU - Stotter, Bernhard

AU - Walle, Günter

AU - Oswald-Tranta, Beata

AU - Sengebusch, Martin

PY - 2017/6

Y1 - 2017/6

N2 - Within the scope of a standardisation research project, a flash thermography round robin test that evaluates reliability, comparability and efficiency of different testing situations was performed. Data recorded at metal test specimens with flat bottom holes (FBHs) were analysed by calculating the signal-to-noise ratio (SNR) of the defect signatures in the thermograms as well as in the phase images as a function of defect parameters. A new multi-parameter probability of detection (POD) model was developed, where an â versus a continuous signal analysis was based on the linear relationship between the SNR and a multi-parameter a. This linear relationship was verified by comparison to data obtained from an analytical model that is considering lateral thermal heat diffusion as well as to data obtained by numerical simulation. The resulting POD curves for the thermograms and phase images give an estimation for the detectability of the FBHs with known geometry in steel using different equipment and obtained by different participants. By comparing the SNRs of FBHs with similar geometries, this POD model was transferred to aluminium and copper as well.

AB - Within the scope of a standardisation research project, a flash thermography round robin test that evaluates reliability, comparability and efficiency of different testing situations was performed. Data recorded at metal test specimens with flat bottom holes (FBHs) were analysed by calculating the signal-to-noise ratio (SNR) of the defect signatures in the thermograms as well as in the phase images as a function of defect parameters. A new multi-parameter probability of detection (POD) model was developed, where an â versus a continuous signal analysis was based on the linear relationship between the SNR and a multi-parameter a. This linear relationship was verified by comparison to data obtained from an analytical model that is considering lateral thermal heat diffusion as well as to data obtained by numerical simulation. The resulting POD curves for the thermograms and phase images give an estimation for the detectability of the FBHs with known geometry in steel using different equipment and obtained by different participants. By comparing the SNRs of FBHs with similar geometries, this POD model was transferred to aluminium and copper as well.

KW - Active thermography

KW - flash excitation

KW - signal-to-noise ratio

KW - round robin test

KW - multi-parameter POD

U2 - 10.1080/17686733.2016.1229246

DO - 10.1080/17686733.2016.1229246

M3 - Article

VL - 14.2017

SP - 1

EP - 23

JO - Quantitative infra red thermography (QIRT Journal)

JF - Quantitative infra red thermography (QIRT Journal)

SN - 1768-6733

IS - 1

ER -