Title :
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
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;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481652
