In order to identify surface features of an object, active thermal non-destructive testing (TNDT) techniques use the surface temperature profile that has been measured over the object. To improve the flaw detectability using depth analysis, this technique, however, calls for fresh processing and excitation approaches. In order to characterize carbon reinforced plastic material, this contribution aims to demonstrate the detection capabilities of the recently introduced orthonormal projection approach to pulse thermography for infrared imaging.
Keywords
Pulse thermography, random projection transform, infrared non-destructive testing, (CFRP).
