QUALITY ENHANCEMENT OF EDDY-CURRENT-BASED NON-DESTRUCTIVE EVALUATION DATA THROUGH INDEPENDENT COMPONENT ANALYSIS
The aim of this paper is to examine the performance of an independent component analysis algorithm based on neural networks applied to the solution of an electrical engineering problem related to non-destructive evaluation of conductive objects. The proposed application is assessed through computer experiments carried out on real-world data, which prove the usefulness of this non-destructive evaluation technique.
Keywords:neural network applications, eddy-current testing, independent component analysis
- Vol. 8 No. 3 (2004)
- Research article
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