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Induction motors are lifeline of industries. Failure of induction motor is unbearable since it causes decrease in production, loss in valuable time and above all repairing cost is also to be bared. This needs for early detection of fault with diagnosis of its root cause and that also in working condition so that efficiency can be improved. In this research paper a method has been developed for fault detection in induction motor using vibration measurement. Bearing raceway defects were artificially generated for carrying out a comparative vibration study in healthy as well as faulty conditions. An accelerometer has been used as sensor to measure the vibration level, which is then collected and converted into digital signal with a data acquisition card. The signals are then transformed into frequency domain using FFT and the obtained spectrum is analyzed to determine the condition of the motor and maintenance requirement.