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

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.