Uma ferramenta para diagnóstico de falhas em motores elétricos

Abstract

The three phase induction motors are the devices responsible by the electromechanical energy conversion more applied in industrial environment. Like all other machines inserted in industrial process, this motors also undergo regular maintenance. This work addresses a classical method of fault detection in direct start three phase induction motors. This method is based in signal current spectral analysis, in which looking identify the fault characteristics frequencies components based in particular mathematical models. The purpose of this research is develop an algorithm that transform the signal in time domain to frequency domain through the Fast Fourier Transform tool and calculate the fault frequencies, beyond from creating an graphical user interface for this algorithm. The fault analysis address: stator fault, rotor fault and bearing fault. For the last, the balls and outer race faults will be considered.