Quality enhancement of eddy-current-based non-destructive evaluation data through independent component analysis

• Autorzy: Frulloni E. , Fiori S.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

neural network applications; eddy current testing; independent component analysis

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2004
• Tom: Vol. 8, No 3
• Strony: 359--375
• Opis fizyczny: Bibliogr. 45 poz., rys.

Twórcy

autor

Frulloni E.

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

autor

Fiori S.

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