Effectiveness of Selected Neural Network Structures Based on Axial Flux Analysis in Stator and Rotor Winding Incipient Fault Detection of Inverter-fed Induction Motors

Effectiveness of Selected Neural Network Structures Based on Axial Flux Analysis in Stator and Rotor Winding Incipient Fault Detection of Inverter-fed Induction Motors

This paper presents a comparative study on the application of different neural network structures to early detection of electrical faults in induction motor drives. The diagnosis inference of the stator inter-turn short-circuits and broken rotor bars is based on the analysis of an axial flux of the...

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Bibliographic Details
Main Authors: Maciej Skowron, Marcin Wolkiewicz, Teresa Orlowska-Kowalska, Czeslaw T. Kowalski
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Energies
Subjects:
induction motor drive
stator fault
rotor fault
axial flux
neural networks
fault detection
MLP network
Kohonen network
Hopfield recursive network
Online Access:https://www.mdpi.com/1996-1073/12/12/2392

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