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 …

The demand for cable diagnostics and monitoring techniques has increased significantly in
recent decades. Various diagnostic tests such as partial discharge, dielectric loss, and …

In recent years, significant advancements in deep learning technology have facilitated the
development of intelligent health monitoring approaches for energy systems. However …

A combination of Convolutional Neural Network (CNN), Long-Short Term Memory (LSTM),
and Convolutional LSTM (ConvLSTM) is constructed in this work for the fault diagnosis and …

With the rapid progress of the industrial Internet of Things (IIoT), reducing data uncertainty
has become a critical issue in predicting the development trends of systems and formulating …

Owing to the increasing complexity of electrical systems, diagnostic techniques of cables
used for connecting electrical elements are essential for system maintenance in order to …

Time–frequency domain reflectometry (TFDR) is a highly sensitive method to locate the
defects of cables. However, there are cross terms when a multicomponent signal is …

The ability of frequency domain reflectometry (FDR) for locating a portion in a cable longer
than 1.0 km, where either degradation or abnormality occurred in its insulation, was …

This paper presents a field application system for detecting structural faults on anchor rods
of cable-stayed towers of power transmission lines, based on a nondestructive technique …

Fault diagnosis has been studied actively across the electrical industry to help maintain the
stability of electrical equipment. Among this equipment, shielded cables, which are widely …