Probability of detection analysis of round robin test results performed by flash thermography
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in: Quantitative infra red thermography (QIRT Journal), Jahrgang 14.2017, Nr. 1, 06.2017, S. 1-23.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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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 -