Abstract
In this article a characterization method of electric motors is presented. This method uses stochastic processing and artificial neural networks of second order to determine if a motor has some failures by means of the characterization of the tests made to the motor and the signals analysis obtained from it. First the signal is filtered to eliminate the noise using a stochastic filter and an artificial neural network to characterize and classify the signal in order to use it in the future as a comparison method for the analysis of the motor. The method and results obtained from the test made to the motor are presented.
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