Thermographic signal reconstruction (TSR) and partial least squares thermography (PLST) are techniques conceived for the processing and analysis of pulsed thermography (PT) data. In this work, the capabilities of both techniques are evaluated. A thermal data sequence was obtained from a PT inspection on a carbon fiber reinforced polymer (CFRP) specimen with simulated delaminations (Teflon inserts). The IR sequence was then processed with both TSR and PLST and their results were evaluated in terms of the signal-to-noise ratio at maximum signal contrast for each defect. The discussion focuses on the performance, limitations and advantages of each processing method.

Comparative study of thermographic signal reconstruction and partial least squares thermography for the detection and evaluation of subsurface defects

S. Sfarra;
2014-01-01

Abstract

Thermographic signal reconstruction (TSR) and partial least squares thermography (PLST) are techniques conceived for the processing and analysis of pulsed thermography (PT) data. In this work, the capabilities of both techniques are evaluated. A thermal data sequence was obtained from a PT inspection on a carbon fiber reinforced polymer (CFRP) specimen with simulated delaminations (Teflon inserts). The IR sequence was then processed with both TSR and PLST and their results were evaluated in terms of the signal-to-noise ratio at maximum signal contrast for each defect. The discussion focuses on the performance, limitations and advantages of each processing method.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/122592
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