Detection and location of defects in wiring networks using Time Domain reflectometry and neural networks

Author

Smail, M.K. ; Hacib, T. ; Pichon, L. ; Loete, F.

Author_Institution

Lab. de Genie Electr. de Paris, Univ. Paris-Sud, Gif-sur-Yvette, France

fYear

2010

fDate

9-12 May 2010

Firstpage

1

Lastpage

1

Abstract

This paper presents a new technique to reconstruct faulty wiring networks 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 modelled by RLCG circuit parameters and the Finite Difference Time Domain (FDTD) method. Neural Networks (NNs) are used to solve the inverse problem.

Keywords

electrical engineering computing; finite difference time-domain analysis; inverse problems; neural nets; time-domain reflectometry; transmission line theory; wave propagation; wiring; RLCG circuit parameters; defect detection; faulty wiring networks; finite difference time domain method; inverse problem; neural networks; time domain reflectometry; transmission lines; wave propagation; Circuit faults; Distributed parameter circuits; Finite difference methods; Impedance; Inverse problems; Neural networks; Reflectometry; Time domain analysis; Wire; Wiring;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4244-7059-4

Type

conf

DOI

10.1109/CEFC.2010.5481652

Filename

5481652