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This paper aims at detecting fault in workhorse of the industry i.e; an induction motor. To keep the downtime of the motors at bay their continuous monitoring is to be done and if at all some fault arises it should be detected at an early stage. Of all the faults, the faults studied here are dynamic eccentricity and broken rotor bars as they cause a fair amount of the total downtime of the machine. First, their detection was monitored then their severity levels were increased and their effect on its vibration signature was observed and to get better idea of the changes, signal processes which can be used to detect the faults namely, Wavelet Transform, Short Time Fourier Transform (STFT) and Fast Fourier Transform (FFT) were used. A constant speed 0.5hp induction motor is studied first in its healthy state and then first its one rotor bar was broken by drilling a hole into one of the 20 rotor bars then its severity is increased by breaking more bars and looking for its effects on the vibration signals we acquire. Thereafter the rotor shaft was precisely bent by loading it with known force to create dynamic eccentricity then this force was increased gradually for bending the shaft further and its effect is studied on the vibration signals obtained.
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