An ECT data analysis environment has been developed, able to effectively deal with measurement taken at different scanning frequencies; in order determine defect position and shape. The system performance is proved against a benchmark problem (JSAEM #2). The use of multiple frequencies scanning improves the ability to discriminate flaw depths in conducting materials. The described environment suitably combines a cluster multiprocessors machine and a parallel Genetic Algorithm inverse solver.
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