Analysis of SATIR test for the qualification of high heat flux components: defect detection and classification by signal-to-noise ratio maximization

An operational non-destructive examination technique for ITER Divertor plasma facing components

“…The SATIR test bed is now a mature NDE technique and entirely meets with the ITER requirements for the Divertor commissioning phase. During the ITER procurement phase, CEA will continue the R&D within the NDE field to still improve defect detection capability of SATIR and particularly utilizing signal processing methods [6].…”

Subspace SNR Maximization: The Constrained Stochastic Matched Filter

“…• analysis of sequences of IR images (SATIR) to qualify high heat flux components (carbon bricks used in the ITER project with the CEA Cadarache): detection of defects and classification of components [23],…”

Infrared thermography inspection of the ITER vertical target qualification prototypes manufactured by European industry using SATIR

“…In order to correct the emissivity of the measured surface, a normalization algorithm has been developed at the CEA and allowed the detection threshold to be reduced. In fact, both the normalization processing and the DTref max pixel by pixel allowed a significant improvement of the spatial localization and the detection sensitivity [3,4]. The physical relation between this DTref max and the size of defect was established both by means of finite element modelling, taking into account physical properties variation of material and the background noise of the test bed, and by means of tests on samples with calibrated defects defined in the framework of the acceptance criteria study.…”