Impedance inversion in eddy current testing of layered planar structures via neural networks

The inversion of eddy current probe impedance measurements is widely recognized as a complex theoretical problem whose solution is likely to have a significant impact on the characterization of materials. In this paper the evaluation of the conductivity profile of a layered planar structure is perfo...

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Bibliographic Details
Published in:NDT & E international 1997-04, Vol.30 (2), p.69-74
Main Authors: Rekanos, I.T., Theodoulidis, T.P., Panas, S.M., Tsiboukis, T.D.
Format: Article
Language:English
Subjects:
Cross-disciplinary physics: materials science
rheology
eddy current testing
Electrical and electronic components, instruments and techniques
Exact sciences and technology
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
inversion
Materials science
Materials testing
neural networks
Nondestructive testing: electromagnetic testing, eddy-current testing
Physics
Signal processing electronics
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Summary:The inversion of eddy current probe impedance measurements is widely recognized as a complex theoretical problem whose solution is likely to have a significant impact on the characterization of materials. In this paper the evaluation of the conductivity profile of a layered planar structure is performed after inverting the impedance of a circular air-cored probe coil, of rectangular cross-section, using multilayer perceptron neural networks, trained via the back propagation learning algorithm. The merits of the method are illustrated in the light of two engineering examples.
ISSN:0963-8695
1879-1174
DOI:10.1016/S0963-8695(96)00047-3