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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Principais autores:	Maciej Skowron, Marcin Wolkiewicz, Teresa Orlowska-Kowalska, Czeslaw T. Kowalski
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-06-01
coleção:	Energies
Assuntos:	induction motor drive stator fault rotor fault axial flux neural networks fault detection MLP network Kohonen network Hopfield recursive network
Acesso em linha:	https://www.mdpi.com/1996-1073/12/12/2392
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