The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …

The detection of broken rotor bars and broken end-ring in three-phase squirrel cage
induction motors by means of improved decision structure. The structure consists of current …

In this paper an experimental study detecting of rotor faults in three-phase squirrel cage
induction motors by means of short time Fourier transform (STFT) is presented. The …

This study presents analysis and effects of rotor faults in squirrel cage induction motor on the
torque-speed curve. In the study, the used experimental data were obtained from 10 HP, 25 …

In recent years voltage unbalance and fault analysis in induction motor independently has
been researched by engineers dealing with power quality issues. The exposure of the motor …

In this paper an experimental study of classification and diagnosis of different number of
broken rotor bars and broken end-ring in the three-phase squirrel cage induction motors is …

We present the results of our investigation in the use of the multi-layer feed forward back-
propagation artificial neural networks (ANNs) for induction machine faults diagnosis. ANNs …

The Condition Monitoring of Induction Motor (IM) is performed to ensure optimal and reliable
operation, as IM has numerous applications spread across varied sectors. Mechanical faults …

Rotor bar broken fault is one of the common faults of the submersible motor. In order not to
affect the production efficiency of submersible motor, the fault should be detected in time. For …

In this study, rotor faults detection in submersible induction motors which is used at deep
well submersible pumps is presented by analyzing stator current. In some production …