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QUALITY ENHANCEMENT OF EDDY-CURRENT-BASED NON-DESTRUCTIVE EVALUATION DATA THROUGH INDEPENDENT COMPONENT ANALYSIS

Abstract

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

Details

Issue
Vol. 8 No. 3 (2004)
Section
Research article
Published
2004-09-30
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors

  • EMILIANO FRULLONI

    Faculty of Engineering of the Perugia University, Loc. Pentima bassa 21, I-05100 Terni, Italy
  • SIMONE FIORI

    Faculty of Engineering of the Perugia University, Loc. Pentima bassa 21, I-05100 Terni, Italy

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