Algorithms for Locating and Characterizing Cable Faults via Stepped-Frequency Waveform Reflectometry

TL;DR

This paper develops algorithms for stepped-frequency waveform reflectometry (SFWR) to accurately locate and characterize faults in cables, improving fault detection and analysis in transmission lines.

Contribution

It introduces a method to minimize transient effects in SFWR, enabling precise estimation of the frequency response function for fault detection.

Findings

Low systematic error in FRF estimation

Effective fault localization and characterization

Validated with simulated cable data

Abstract

The paper presents algorithms to realize effectively and accurately the stepped-frequency waveform reflectometry (SFWR), i.e. the reflectometric technique based on the use of sinusoidal bursts. This technique is useful for monitoring the health status of connection cables, but has many other applications, like other reflectometric techniques. The paper outlines the theory of SFWR, highlighting the problems associated to the transient components in the reflected signals; presents a method to minimize the effect of the transients, estimating the frequency response function (FRF) of interest with very low systematic error; shows how to use the FRF to locate and characterize faults in cables; evaluates accurately, using simulated cables with exactly known characteristics, the errors associated to the proposed methods. Overall, the paper demonstrates how the SFWR technique can be effectively used for testing cables, and in general determine, via reflectometry, parameters of interest of transmission lines.