An Analysis of the Impact of the Squirrel-Cage Rotor Faults on the Electromagnetic Torque

2021 ◽  
Author(s):  
Maik Streblau ◽  
Marin Todorov Marinov ◽  
Ivan Rusev
Keyword(s):  
Electromagnetic Torque ◽  
Rotor Faults ◽  
Squirrel Cage ◽  
Cage Rotor ◽  
The Impact

Detection of Stator and Rotor Faults in Asynchronous Motor Using Artificial Intelligence Method

2018 ◽  
pp. 278-285
Author(s):  
K. Vinoth Kumar ◽  
Prawin Angel Michael
Keyword(s):  
Induction Motor ◽  
Asynchronous Motor ◽  
Feed Forward Neural Network ◽  
Identification Scheme ◽  
Hardware System ◽  
Rotor Faults ◽  
Squirrel Cage ◽  
Three Phase ◽  
Neural Network Structure ◽  
Trained Network

This chapter deals with the implementation of a PC-based monitoring and fault identification scheme for a three-phase induction motor using artificial neural networks (ANNs). To accomplish the task, a hardware system is designed and built to acquire three phase voltages and currents from a 3.3KW squirrel-cage, three-phase induction motor. A software program is written to read the voltages and currents, which are first used to train a feed-forward neural network structure. The trained network is placed in a Lab VIEW-based program formula node that monitors the voltages and currents online and displays the fault conditions and turns the motor. The complete system is successfully tested in real time by creating different faults on the motor.

Induction Motor Squirrel Cage Rotor Winding Thermal Analysis

1986 ◽  
Vol EC-1 (3) ◽  
pp. 22-25 ◽  
Author(s):  
J.W. Griffith ◽  
R.M. McCoy ◽  
D.K. Sharma
Keyword(s):  
Thermal Analysis ◽  
Induction Motor ◽  
Squirrel Cage ◽  
Rotor Winding ◽  
Cage Rotor
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