Detection and Location of Defects in Wiring Networks Using Time-Domain Reflectometry and Neural Networks

Mostafa-Kamel Smaïl 1 Tarik Hacib 2 Lionel Pichon 1 Florent Loete 3
1 ICHAMS - Equipe Interaction Champs - Matériaux et Structures
LGEP - Laboratoire de génie électrique de Paris
2 COCODI - Equipe Conception, Commande et Diagnostic
LGEP - Laboratoire de génie électrique de Paris
3 CE - Equipe Contacts Electriques
LGEP - Laboratoire de génie électrique de Paris
Abstract : This paper presents a new technique to reconstruct faulty wiring networks and/or to localize the defects affecting the branches of the wiring network from the time domain reflectometry response. The method is also for characterization of defects in branches on the network. The direct model for wave propagation along the transmission lines is modeled by RLCG circuit parameters computed by finite elements method (FEM) or analytical solution and the finite difference time-domain (FDTD) method. Neural networks (NNs) are used to solve the inverse problem. A set of experimental results is carried out in order to validate the calculations.
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Journal articles
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Submitted on : Thursday, June 21, 2012 - 11:19:47 AM
Last modification on : Thursday, December 20, 2018 - 1:26:24 AM

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Mostafa-Kamel Smaïl, Tarik Hacib, Lionel Pichon, Florent Loete. Detection and Location of Defects in Wiring Networks Using Time-Domain Reflectometry and Neural Networks. IEEE Transactions on Magnetics, Institute of Electrical and Electronics Engineers, 2011, 47 (5), pp.1502-1505. ⟨10.1109/TMAG.2010.2089503⟩. ⟨hal-00710603⟩

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