Idioma:

Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks

Skowron, M. ; Wolkiewicz, M. ; Tarchała, G.

Bulletin of the Polish Academy of Sciences. Technical sciences, 2020-10, Vol.68 (5), p.1039-1048 [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

Texto completo disponível

Citações Citado por

Enviar para

Título:
Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks
Autor: Skowron, M. ; Wolkiewicz, M. ; Tarchała, G.
Assuntos: Artificial neural networks ; Coils (windings) ; Control methods ; convolutional neural networks ; diagnostics ; Fast Fourier transformations ; Fault detection ; Fault diagnosis ; field-oriented control ; Fourier transforms ; Induction motors ; Motor stators ; Neural networks ; Short circuits ; stator faults
É parte de: Bulletin of the Polish Academy of Sciences. Technical sciences, 2020-10, Vol.68 (5), p.1039-1048
Descrição: In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction motor stator windings operating under the Direct Field Oriented Control method. A convolutional neural network (CNN), trained with a Stochastic Gradient Descent with Momentum method is used. This kind of deep-trained neural network allows to significantly accelerate the diagnostic process compared to the traditional methods based on the Fast Fourier Transform as well as it does not require stationary operating conditions. To assess the effectiveness of the applied CNN-based detectors, the tests were carried out for variable load conditions and different values of the supply voltage frequency. Experimental results of the proposed induction motor fault detection system are presented and discussed.
Editor: Warsaw: Polish Academy of Sciences
Idioma: Polonês;Inglês

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Stator winding fault diagnosis of induction motor operating under the field-oriented control with convolutional neural networks

Skowron, M. ; Wolkiewicz, M. ; Tarchała, G.

Warsaw: Polish Academy of Sciences

Buscando em bases de dados remotas. Favor aguardar.