@ARTICLE{Dudzik_Sebastian_Characterization_2013, author={Dudzik, Sebastian}, number={No 3}, journal={Metrology and Measurement Systems}, pages={491-500}, howpublished={online}, year={2013}, publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation}, abstract={In the paper a method using active thermography and a neural algorithm for material defect characterization is presented. Experimental investigations are conducted with the stepped heating method, so-called time-resolved infrared radiometry, for the test specimen made of a material with low thermal diffusivity. The results of the experimental investigations were used in simulations of artificial neural networks. Simulations are performed for three datasets representing three stages of the heating process occurring in the investigated sample. In this work, the simulation research aimed to determine the accuracy of defect depth estimation with the use of the mentioned algorithm is descibed}, type={Artykuły / Articles}, title={Characterization of Material Defects Using Active Thermography and an Artificial Neural Network}, URL={http://journals.pan.pl/Content/90169/PDF/Journal10178-VolumeXX%20Issue3_15.pdf}, doi={10.2478/mms-2013-0042}, keywords={active thermography, non-destructive testing, defect characterization, neural networks}, }