Reconstruction of Faulty Cable Network Using Time-Domain Reflectometry

Abstract

Abstract-Based on Time-Domain Reflectometry (TDR) technique, a novel method which could locate faults on the coaxial cable distribution network by using Support Vector Machine (SVM) is proposed in this paper. This approach allows the faulty network to be reconstructed by estimating the lengths of branches. A State-transition Matrix model is employed to simulate the TDR response at any port and evaluate the transfer function between two points. SVM is used to solve the inversion problem through training datasets created by the State-transition matrix model. Compared to the existing reflectometry methods, our proposed method can tackle multiple faults in the complex cable networks. Numerical and experimental results pointing out the performance of the SVM model in locating faults are reported.

Reflectometry on Asymmetric Transmission Line Systems

“…Reflectometry has been used to detect faults in electrical systems [1][2][3][4], including photovoltaic (PV) systems [5]. Classical analysis of reflectometry for transmission lines considers symmetric systems where an impedance occurs on both lines of a symmetric twin-lead transmission line.…”

Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems

“…Actually, it is quite difficult to apply the TDR method to find faults in distribution feeders because of the various junctions and ends of branched network involved. As a result, various reflected responses may occur in the reflectometry trace [ 13 ]. Therefore, an intelligent algorithm is required to extract fault location information on a multiple-branched network from the reflectometry trace provided.…”