In this paper, we review the state of the art in the detection, location, and diagnosis of faults
in electrical wiring interconnection systems (EWIS) including in the electric power grid and …

Arc faults are serious discharges, damaging insulation systems, and triggering electrical
fires. This is a transversal topic, affecting from residential to aeronautic applications. Current …

This article explains the use of supervised and unsupervised dictionary learning approaches
on spread spectrum time domain (SSTDR) data to detect and locate disconnections in a PV …

One of the most common applications of time-domain reflectometry (TDR) is the localization
of dielectric permittivity variations (DPVs) along cable systems. However, signal attenuation …

Reflectometry, which is commonly used for locating faults on electrical wires, produces
sampled time domain signatures with peaks that are often missed due to this sampling …

This article utilizes variational autoencoder (VAE) and spread spectrum time domain
reflectometry (SSTDR) to detect, isolate, and characterize anomalous data (or faults) in a …

In this paper, we present a method for estimating capacitances with SSTDR and a dictionary
matching algorithm. We simulate a dictionary of simulated SSTDR reflections for a range of …

The health of photovoltaic (PV) cells and modules can be determined from its capacitance.
In this paper we describe a reflectometry method that can be used to determine capacitance …

Despite the worldwide use of stranded Unshielded Twisted Pair (UTP) cables, scientific
references dealing with accurate calculation of distributed parameters of such transmission …

This work aims at presenting data driven methods for solving the challenges of fault
detection in transmission lines and photovoltaic (PV) systems. Traditionally, faults are …