Detection of Defects in Wiring Networks Using Time Domain Reflectometry

Abstract

International audienceA new technique is proposed to reconstruct faulty wiring networks from the time-domain reflectometry (TDR) response. The developed method is also for characterization of defects in the branches of the network. The direct problem (propagation along the cables) is modeled by RLCG circuit parameters computed by finite element method (FEM) and the finite-difference time domain (FDTD) method. Genetic algorithms (GAs) are used to solve the inverse problem. The proposed method allows to accurately locate wire faults. Some examples are presented to validate and illustrate the ability of this reconstruction method

Contactless Modal Phenomena Based Approach to Detecting, Identifying, and Diagnosing of Electrical Connections

“…The development of this technique increases its functionality and applications [3][4][5]. Unfortunately, the reflectometry response itself is not always self-sufficient to identify and locate the defects in the electrical connections and it is a reason why a solution of the inverse problem may also enhance the applicability of reflectometry [6,7]. However, wiring network development strengthens the requirements for probing devices, which necessitates creation of the devices based on other principles.…”

Time Reversal for Soft Faults Diagnosis in Wire Networks

“…Several signal processing methods can be considered to improve fault localization in wire networks [1][2][3][4][5][6]. This research overcomes the limitations of standard wire diagnosis methods (i.e., time domain reflectometry (TDR)) by proposing a new signal processing method based on time reversal for detecting and locating the soft faults in a wire network.…”

Novel Reflectometry Method Based on Time Reversal for Cable Aging Characterization

“…The feasibility, applicability, and accuracy of the proposed method are investigated by numerical simulation and experimental measurements. The simulation is done using a frequency model of cable in MATLAB R [8], [9]. For deeper investigation, the proposed method is applied experimentally on two identical healthy and aged cables for comparison purpose.…”