Fault detection in induction motors based on motor current signature analysis and accelerometer

Induction motors are widely used in every field of electric power such as transportation, manufacturing, mining, and petrochemical fields. Hence, fault detection and analysis become necessary to monitor the health of the machine. Basically, classification of the induction motor faults is given in this paper. In proposed approach fault detection and analysis of faulty rotor bars and vibration faults is done. MCSA technique is used for the detection of rotor fault based on the current from the transformer. For vibrations of the motor, ADXL 335 vibration sensor is used. For the analysis of faults, Fast Fourier Transform is performed by using MATLAB.