R&D
Processing and deconvolution of SAX eddy-current signals to help engineers assess steam-generator support-plate clogging during periodic inspections.
Periodic inspections of steam-generator tubes were analyzed using axial eddy-current (SAX) measurements acquired at tube/support-plate intersections.
The project focused on interpreting the electromagnetic response of the inspection signals in order to assess the presence of deposits affecting support-plate passages.
Developed MATLAB tools for preprocessing, denoising, signal alignment, and deconvolution of complex eddy-current signals.
The work built on EDF’s IComplexe approach and focused on extracting signal features that could support engineering assessment of clogging.
Implemented analysis and visualization tools used to review processed signals and support interpretation by engineers.
Results were compared with available inspection references, including visual examination data, in order to support the evaluation of clogging profiles.
Development and industrialization of engineer-facing software combining signal alignment, DTW, and statistical anomaly detection to prioritize atypical steam-generator inspection signals for expert review.
