A NEW APPROACH FOR REAL-TIME FAULT DIAGNOSIS IN INDUCTION MOTORS BASED ON A DIGITAL SIGNAL PROCESSOR EMBEDDED IN FPGA

Resumo

This paper proposes a new approach for the design of a real-time vibration measurement and analysis instrument based on a digital signal processor embedded in a field-programmable gate array (FPGA). Circuit architecture mapped from a MATLAB/SIMULINK model is the main idea in this new approach. Signal processing algorithms, such as FIR filters, fast Fourier transform, and the high-frequency resonance technique, are implemented in hardware embedded in the FPGA using a system generator toolbox. This automatically translates the MATLAB/SIMULINK model into a hardware description language, VHDL. Special focus is dedicated to the area of fault detection in rolling bearings.

Keywords: Rotating Electrical Machine. Fault. Condition Monitoring. Diagnostic. Vibration. Digital Signal Processing.