As the field of fault diagnosis in electrical machines has significantly attracted the interest of
the research community in recent years, several methods have arisen in the literature. Also …

Due to its superior performance, rapid development, and environmental friendliness, the
permanent magnet synchronous machine (PMSM), in all of its various design forms, is …

Metering anomalies not only mean huge economic losses but also indicate the faults of
equipment and power lines, especially within the substation. As a result, metering anomaly …

Power systems protection has become more vital in recent years to ensure stability,
reliability, security, and power quality due to the exponential growth of grid-connected …

Fault diagnosis in electrical machines is a cornerstone of operational reliability and cost-
effective maintenance strategies. This review provides a comprehensive exploration of the …

This study develops a Convolutional Autoencoder (CAE) and deep neural network (DNN)-
based model optimized for real-time signal processing and high accuracy in motor fault …

High-frequency parametric modeling of cable-fed induction machines is essential in
investigating issues such as estimating terminal transient overvoltage and electromagnetic …

The rolling elements of the induction motor are highly susceptible to faults. The detection
and diagnosis of rolling element faults are accurate and reliable only when the extracted …

This study introduces a novel predictive methodology for diagnosing and predicting gear
problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the …

This work numerically studied the heat transfer and flow characteristics of supercritical
R134a in horizontal pipes equipped with DDIR, considering variations in the rotation angle …