<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents the possibility of using neural networks in the detection of stator and rotor electrical faults of induction motors. Fault detection and identification are based on the analysis of symptoms obtained from the fast Fourier transform of the voltage induced by an axial flux in a measurement coil. Neural network teaching and testing were performed in a MATLAB–Simulink environment. The effectiveness of various neural network structures to detect damage, its type (rotor or stator damage) and damage levels (number of rotor bars cracked or stator winding shorted circuits) is presented.</p></abstract>

The paper presents the possibility of using neural networks in the detection of stator and rotor electrical faults of induction motors. Fault detection and identification are based on the analysis of symptoms obtained from the fast Fourier transform of the voltage induced by an axial flux in a measurement coil. Neural network teaching and testing were performed in a MATLAB–Simulink environment. The effectiveness of various neural network structures to detect damage, its type (rotor or stator damage) and damage levels (number of rotor bars cracked or stator winding shorted circuits) is presented.

Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor

Department of Electrical Machines, Drives and Measurements

Wrocław University of Science and Technology

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper presents the possibility of using neural networks in the detection of stator and rotor electrical faults of induction motors. Fault detection and...

Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor

Publié en ligne: 26 nov. 2019

Pages: 203 - 215

Reçu: 31 juil. 2018

Accepté: 25 sept. 2018

DOI: https://doi.org/10.2478/pead-2019-0001

Mots clés
Induction motor, Stator and rotor faults, Diagnostics, Axial flux, Neural network

© 2019 Paweł Ewert, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor

Publié en ligne: 26 nov. 2019

Pages: 203 - 215

Reçu: 31 juil. 2018

Accepté: 25 sept. 2018

DOI: https://doi.org/10.2478/pead-2019-0001

Mots clésInduction motor, Stator and rotor faults, Diagnostics, Axial flux, Neural network

© 2019 Paweł Ewert, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Induction motor, Stator and rotor faults, Diagnostics, Axial flux, Neural network