Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-19T15:46:57.534Z Has data issue: false hasContentIssue false
  • English
  • Français

On-line rail defect diagnosis with differential eddy current probes and specificdetection processing*

Published online by Cambridge University Press:  15 September 2003

M. Bentoumi ,
P. Aknin  and
G. Bloch
M. Bentoumi
Affiliation:
INRETS, 2 avenue Malleret-Joinville, 94114 Arcueil Cedex, France CRAN (UMR CNRS 7039), ESSTIN, rue Jean Lamour, 54519 Vandœuvre-les-Nancy Cedex, France
P. Aknin*
Affiliation:
INRETS, 2 avenue Malleret-Joinville, 94114 Arcueil Cedex, France
G. Bloch
Affiliation:
CRAN (UMR CNRS 7039), ESSTIN, rue Jean Lamour, 54519 Vandœuvre-les-Nancy Cedex, France
*
aknin@inrets.fr
Get access

Abstract

This paper presents a non destructive evaluation systemfor rail inspection with a device embedded in a subway train. Thedifficult operating conditions lead to the design of a specificdouble-coils and double-frequencies sensor that delivers 8complementary signals. After the presentation of the technologicalsolution, the paper deals with the detection of minor defects andpresents three approaches: the first one is a time heuristicapproach, the second one is based on wavelet basis projections,and the last one implements an inverse filtering which allows thetransformation of the differential probe outputs into estimatedabsolute ones. The methods are validated statistically on alabeled defect data set with the help of ROC curves.

Keywords

Type
Research Article
Information
The European Physical Journal - Applied Physics , Volume 23 , Issue 3 , September 2003 , pp. 227 - 233
Copyright
© EDP Sciences, 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

This paper has been first presented orally at the C2Icolloquium in February 2001

References

L. Oukhellou, Paramétrisation et classification de signaux en contrôle non destructif. Application à la reconnaissance des défauts de rails par courants de Foucault, thèse de Doctorat de l'Université Paris XI, 1997
T. Sreang, T. Nguyen, Wavelets and filter banks (Wellesley-Cambridge, Wellesley MA, USA, 1996)
Joubert, P.Y., Lebihan, Y., Placko, D., Lepoutre, F., Quant. Nondestruct. Eval. 19, 823 (1999)
P. Aknin, T. Maurin, Systèmes multi-capteurs : diagnostic et fusion, IC2 Instrumentation et mesure (Hermès, 2000), Vol. 2
Bentoumi, M., Aknin, P., Bloch, G., Talbi, S., Adv. Signal Process. for Non Destruct. Eval. Mater. 4, 6 (2001)
M.H. Hayes, Statistical digital signal processing and modeling (John Wiley, New York, USA, 1996)
J. Ragot, M. Darouach, D. Maquin, G. Bloch, Validation de données et diagnostic (Hermès, 1990)
Oukhellou, L., Aknin, P., Neurocomputing 28, 165 (1999) CrossRef