Reconstruction of faulty wiring networks using reflectometry response and genetic algorithms

Abstract

This paper presents an effective technique to reconstruct faulty wiring networks and/or to localize the defects affecting the branches of a wiring network from the reflectometry response. The direct problem (propagation in the cables) is modelled by RLCG circuit parameters and the Finite Difference Time Domain (FDTD) method whereas the inverse problem is solved using Genetic Algorithms (GAs). In a first step the forward problems is validated by comparison with experimental and simulated data. In a second step the proposed reconstruction method is applied on different configurations and the results are discussed.