Application of Fuzzy Controller for Automatic Diagnosis of Rotor Broken Bars in Industrial Induction Motors
نویسندگان
چکیده
This paper presents an online trained Fuzzy logic system based on FPGA to fault detection of broken rotor bar for squirrel cage induction motor. Fuzzy logic approach may help to diagnose induction motor faults in remote site and transmit fault diagnosis (via GSM\GPRS cellular network technology) to maintenance office or a programmed cell phone. The motor current signal is analyzed through the FFT (Fast Fourier Transform) to detect the amplitudes and frequency components corresponding to different faults. These amplitudes and frequencies are applied to train a Fuzzy logic controller in simulation. Then the trained Fuzzy logic system is applied to detect the fault condition of induction motor in real time. This paper proposes the use of the proposed method for automatic diagnosis of broken bars in induction motors installed in remote locations.
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