Classificador fuzzy do grau de severidade da sobrecarga em motores de indução utilizando um microcontrolador

Abstract

In the industrial environment one of the great challenges is to keep the driving machines in order to deliver the maximum capacity with minimal resources. It is essential to keep the high availability of them, but there are many variables involved in this operation, in which the induction motor has a high role. In the application of the predictive maintenance there is always a necessity of having a specialist to analyze the collected data. In this work was evaluated the technique of acquiring the absolute values of current of the stator along with the coil head temperature and inputting them in a Fuzzy specialist software programed from a data base collected through interviews with a specialist, using online data collection. With a Fuzzy algorithm, it allow us to diagnose if there is any anomaly in the working of the motor, thus generating a better decision making capability at the management level, because the motor condition is known through his grade of severity of operation. At the end of the implementation, the veracity of the obtained results was verified with the Matlab toolbox, getting similar results that validated the tests and confirmed the success of the proposed.