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Groove dimensioning using remote field eddy current inspection*

Published online by Cambridge University Press:  15 September 2000

M.-E. Davoust  and
G. Fleury
M.-E. Davoust*
Affiliation:
Measurement Department, École Supérieure d'Électricité, Plateau du Moulon, 91192 Gif-sur-Yvette, France
G. Fleury
Affiliation:
Measurement Department, École Supérieure d'Électricité, Plateau du Moulon, 91192 Gif-sur-Yvette, France
*
marie-eve.davoust@supelec.fr
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Abstract

The remote field eddy current technique is used for dimensioning the grooves that may occur in the ferromagnetic pipes. We propose a method to estimate the depth and the length of corrosion grooves from measurement of a pick-up coil signal phase at different positions close to the defect. Groove dimensioning requires the knowledge of the physical relation between measurements and defect dimensions; therefore finite-element calculations are performed to design parametric algebraic functions for modeling the physical phenomena. Different models are possible; the choice of this algebraic function is discussed from identification criteria. By means of new measurement formalism and two previously defined measurement relations, estimates of groove sizes may be given. In the first approach, algebraic function parameters and groove dimensions are linked through a polynomial function; this approach is proved to be better than a second one which tries to take advantage of more physical considerations.

Keywords

Type
Research Article
Information
The European Physical Journal - Applied Physics , Volume 11 , Issue 3 , September 2000 , pp. 205 - 213
Copyright
© EDP Sciences, 2000

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Footnotes

*

This work has been presented at NUMELEC 2000.

References

S. Brahim-Belhouari, G. Fleury, Probability distribution in nonlinear estimation-a measurement dedicated approach, in SSAP'98, Portland, USA, 1998, pp. 395-398.
S. Brahim-Belhouari, M. Kieffer, G. Fleury, L. Jaulin, E. Walter, Model selection via worst case criterion for non-linear bounded-error estimation with measurement application, in IMTC'99, Venise, Italy, Vol. 2, 1999, pp. 1075-1080.
Clarke, G.P.Y., J. Am. Stat. Assoc. 82, 844 (1987). CrossRef
Davoust, M.-E., Fleury, G., Res. Nondestructive Eval. 11, 39 (1999). CrossRef
Djuric, P.M., IEEE Trans. Signal Process. 44, 1744 (1996). CrossRef
Dodd, C.V., Deeds, W.E., Luquire, J.W., Int. J. Non Destructive Testing 1, 29 (1969).
Faur, M., Morisseau, P., Oksman, J., Paradis, L., Rev. Prog. Quantitative Non Destructive Eval. 17A, 815 (1998). CrossRef
Faur, M., Ph, O. Roy. Benoist, J. Oksman, P. Morisseau, Rev. Prog. Quantitative Non Destructive Eval. 16, 67 (1997). CrossRef
G. Fleury, Sens. and Actuators A 46; 47, 364 (1995).
Keramat, M., J. Analog Integrated Circuits and Signal Process. 14, 131 (1997). CrossRef
Mackintosh, D.D., Atherton, D.L., Schmidt, T.R., Russel, D.E., Mat. Eval. 54, 652 (1996).
More, J.J., Lect. Notes in Math. 630, 105 (1977). CrossRef
A.Pazman, Nonlinear Statistical Models (Kluwer Academic Publishers, 1993).
Sandu, L., Oksman, J., Fleury, G., IEEE Trans. Instrum. and Meas. 47, 920 (1998). CrossRef
Schmidt, T.R., Mat. Eval. 42, 225 (1984).
Smith, A., G.Roberts, J. Roy. Statist. Soc. Ser. B 55, 3 (1993).
J. Stoer, R. Bulirsch, Introduction to Numerical Analysis (Springer-Verlag, 1980).