Harmonic generation in power system networks presents significant issues that arise in
power utilities. This paper describes a machine learning technique that was used to conduct …

This paper implements an artificial neural network (ANN) model able to estimate the internal
temperatures in stator winding of a squirrel‐cage three‐phase induction motor fed by a …

Estimation of exact speed information is must to have speed sensorless drive. This paper
presents an artificial neural network assisted speed estimator for induction motor drive. A …

This paper implements an Artificial Neural Network (ANN) model able to predict the
insulation level in a dual-stator winding squirrel-cage three-phase induction motor fed by an …

Deciding on the groove shape is an important step in the design process of rotating
electrical machines. Since the rotary electric machines are designed with the help of …

This study provides an exhaustive overview of the implementation of Convolutional Neural
Networks (CNNs) in the domain of electrical machines. Beginning with an introduction to …

Rotary electric machines are widely used in industry, energy production, renewable energy
sources and factories, mainly alternating current (AC) machines and direct current (DC) …

In this paper a technical solution is presented for blind or visually impaired students to
acquire abilities of experimental work in laboratory conditions enabling them to participate in …

Günümüzde asenkron motorlar gerek enerji tasarrufu sağlamak ve gerekse kolay kontrol
imkanına sahip olmak için genellikle sürücü sistemler ile birlikte kullanılmaktadırlar …

Electrical machines are magnetic and electromechanical systems that work entirely with
mag netism. Losses due to magnetism in rotating electrical machines affect the working …