Stator Fault Detection for a BLDC Motor Using an Artificial Neural Network

Resumen: This work addresses the problem of stator short-circuit fault detection for an in-wheel Brushless Direct Current (BLDC) motor using a perceptron artificial neural network. The proposed FD scheme was compared with the motor current signature analysis based on discrete Fourier transform and discrete wavelet transform. The algorithms were validated on a test rig with an in-wheel BLDC motor for light electric vehicles.

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R. Jauregui-Acevedo, F. J. Villalobos-Piña, R. Alvarez-Salas, J. A. Reyes-Malanche, C. H. Saucedo-Zarate, J. A. Alvarez-Salas & A. Rodriguez-Cobos. Stator Fault Detection for a BLDC Motor Using an Artificial Neural Network. Memorias del Congreso Nacional de Control Automático, pp. 310-315, 2021.

Palabras clave

Fault detection, BLDC Motor, artificial neural network, perceptron

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