1. bookVolume 21 (2021): Issue 6 (December 2021)
Journal Details
License
Format
Journal
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
access type Open Access

Uncertainty of Thermographic Temperature Measurement with an Additional close-up Lens

Published Online: 26 Oct 2021
Page range: 185 - 190
Received: 12 Jul 2021
Accepted: 19 Oct 2021
Journal Details
License
Format
Journal
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
Abstract

The thermographic temperature measurement is burdened with uncertainty. This non-contact temperature measurement method makes it possible to measure the temperature of the electrical device under load. When the observed object is small (a few square millimeters) the spatial resolution of the thermographic cameras is often insufficient. In this case, the use of the additional macro lens is needed. After using an additional lens, the uncertainty of the thermographic measurement is different from the uncertainty of thermographic measurement without an additional lens. The values of the uncertainty contributions depend on the conditions during the measurement and the used methodology. The authors constructed an uncertainty budget of thermographic temperature measurement with an additional macro lens, based on EA-4/02 (European Accreditation publications). The uncertainty contributions were also calculated. On the basis of the calculated values of the uncertainty contributions, it was determined which factor had the greatest impact on the value of the thermographic temperature measurement with an additional lens.

Keywords

[1] Ferreira, R.A.M., Silva, B.P.A, Teixeira, G.G.D., Andrade, R.M., Porto, M.P. (2019). Uncertainty analysis applied to electrical components diagnosis by infrared thermography. Measurement, 132, 263-271.10.1016/j.measurement.2018.09.036 Search in Google Scholar

[2] Grégis, F. (2019). On the meaning of measurement uncertainty. Measurement, 133 (5), 41-46.10.1016/j.measurement.2018.09.073 Search in Google Scholar

[3] Varba, I., Palencar, R., Hadzistevic, M., Strbac, B., Spasic-Jokic, V., Hodolic, J. (2011). Compact vibration measuring system for in-vehicle applications. Measurement Science Review, 11 (5), 154-159. Search in Google Scholar

[4] Palenčár, R., Sopkuliak, P., Palenčár, J., Ďuriš, S., Suroviak, E., Halaj, M. (2017). Application of Monte Carlo method for evaluation of uncertainties of ITS-90 by standard platinum resistance thermometer. Measurement Science Review, 3 (17), 108-116.10.1515/msr-2017-0014 Search in Google Scholar

[5] Usamentiaga, R., Fernandez, M.A., Villan, A.F., Carus, J.L. (2018). Temperature monitoring for electrical substations using infrared thermography: Architecture for industrial internet of things. IEEE Transactions on Industrial Informatics, 14 (12), 5667-5677.10.1109/TII.2018.2868452 Search in Google Scholar

[6] Orlov, S.P., Girin, R.V., Uyutova, O.Y. (2018). Artificial neural network for technical diagnostics of control systems by thermography. In International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 1-4.10.1109/ICIEAM.2018.8728586 Search in Google Scholar

[7] Kopec, M., Wiecek, B. (2018). Low-cost IR system for thermal characterization of electronic devices. Measurement Automation Monitoring, 64 (4), 103-107. Search in Google Scholar

[8] Dziarski, K., Hulewicz, A., Dombek, G. (2021). Lack of thermogram sharpness as component of thermographic temperature measurement uncertainty budget. Sensors, 21 (12), 4013-4023.10.3390/s21124013 Search in Google Scholar

[9] Zaccara, Z., Edelman, J.B., Cardone, G. (2020). A general procedure for infrared thermography heat transfer measurements in hypersonic wind tunnels. International Journal of Heat and Mass Transfer, 163, 120419-120435.10.1016/j.ijheatmasstransfer.2020.120419 Search in Google Scholar

[10] Altenburg, J.S., Straße, A., Gumenyuk, A., Meierhofer, C. (2020). In-situ monitoring of a laser metal deposition (LMD) process: Comparison of MWIR, SWIR and high-speed NIR thermography. Quantitative InfraRed Thermography Journal, doi: 10.1080/17686733.2020.1829889.10.1080/17686733.2020.1829889 Search in Google Scholar

[11] Yoon, S.T., Park, J.C., Cho, Y.J. (2021). An experimental study on the evaluation of temperature uniformity on the surface of a blackbody using infrared cameras. Quantitative InfraRed Thermography Journal, doi: 10.1080/17686733.2021. 1877918. Search in Google Scholar

[12] Muniz, P.R., Kalid, R.A., Cani, S.P., Magalhaes, R.S. (2014). Handy method to estimate uncertainty of temperature measurement by infrared thermography. Optical Engineering, 53, 7.10.1117/1.OE.53.7.074101 Search in Google Scholar

[13] Schuss, C., Remes, K., Leppänen, K., Saarela, J., Fabritius, T., Eichberger, B., Rahkonen, T. (2020). Detecting defects in photovoltaic cells and panels with the help of time-resolved thermography under outdoor environmental conditions. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 1-6.10.1109/I2MTC43012.2020.9128489 Search in Google Scholar

[14] Chakraborty, B., Billol, K.S. (2020). Process-integrated steel ladle monitoring, based on infrared imaging - a robust approach to avoid ladle breakout. Quantitative InfraRed Thermography Journal, 17 (3), 169-191.10.1080/17686733.2019.1639112 Search in Google Scholar

[15] Tomoyuki, T. (2020). Coaxiality evaluation of coaxial imaging system with concentric silicon-glass hybrid lens for thermal and color imaging. Sensors, 20 (20), 5753-5772. Search in Google Scholar

[16] Wollack, J.E., Cataldo, G., Miller, K.H., Quijada, A.M. (2020). Infrared properties of high-purity silicon. Optical Letters, 45 (17), 4935-4938.10.1364/OL.393847 Search in Google Scholar

[17] Singh, J., Arora, A.S. (2021). Effectiveness of active dynamic and passive thermography in the detection of maxillary sinusitis. Quantitative InfraRed Thermography Journal, 18 (4), 213-225.10.1080/17686733.2020.1736456 Search in Google Scholar

[18] Minkina, W., Dudzik, S. (2009). Infrared Thermography: Errors and Uncertainties. Wiley, 1-29. ISBN 978-0-470-68224-1. Search in Google Scholar

[19] Dziarski, K., Hulewicz, A. (2021). Components of the uncertainty of thermography temperature measurements with the use of a macro lens. In 13th International Conference on Measurement. IEEE, 155-158.10.23919/Measurement52780.2021.9446816 Search in Google Scholar

[20] Dziarski, K., Hulewicz, A., Dombek, G., Frąckowiak, R., Wiczynski, G. (2020). Unsharpness of thermograms in thermography diagnostics of electronic elements. Electronics, 9 (6), 897-1002.10.3390/electronics9060897 Search in Google Scholar

[21] FLIR Systems. FLIR E-Series. www.globaltestsupply.com/pdfs/cache/www.globaltestsupply.com/flir_systems/thermal_imager/e50/datasheet/flir_systems_e50_thermal_imager_datasheet.pdf. Search in Google Scholar

[22] FLIR Systems. Close-up 2x lens. www.flircameras.com/t197214-close-up-2x-lens.htm. Search in Google Scholar

[23] Linear Motion Rail. (www.ebay.com) Search in Google Scholar

[24] Krawiec, P., Rózanski, L., Czarnecka-Komorowska, D., Wargula, L. (2020). Evaluation of the thermal stability and surface characteristics of thermoplastic polyurethane V-belt. Materials, 13 (7), 1502-1520.10.3390/ma13071502 Search in Google Scholar

[25] Siemens. PLC Controller. https://docs.rs-online.com/4ed5/0900766b81397276.pdf. Search in Google Scholar

[26] Tran, Q.H., Han, D., Kang, C., Haldar, A., Huh, J. (2017). Effects of ambient temperature and relative humidity on subsurface defect detection in concrete structures by active thermal imaging. Sensors, 17, 1718.10.3390/s17081718 Search in Google Scholar

[27] Minkina, W., Klecha, D. (2015). Modeling of atmospheric transmission coefficient. In Proceedings of the Sensor 2015 and IRS2 2015 AMA Conferences, Nürnberg, Germany, 19-21. Search in Google Scholar

[28] European co-operation for Accreditation. http://www.european-accreditation.org. Search in Google Scholar

[29] Papadakos, G., Marinakis, V., Konstas, C., Doukas, H., Papadopoulos, A. (2021). Managing the uncertainty of the U-value measurement using an auxiliary set along with a thermal camera. Energy Build, 242, 110984.10.1016/j.enbuild.2021.110984 Search in Google Scholar

[30] Kuwalek, P., Otomanski, P., Wandachowicz, K. (2020). Influence of the phenomenon of spectrum leakage on the evaluation process of metrological properties of power quality analyser. Energies, 13 (20), 5338-5355.10.3390/en13205338 Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo