Detection of eccentricity faults has been feasible using physical and vibrational parameters. The Brushless DC motor is undergoes various kinds of stresses including mechanical, electrical, thermal, and environmental. These stresses increase the probability of occurrences of stator faults with various severity levels. The well maintained BLDC motor and correct operations decrease the probability of occurrences of faults. These faults are of three types as damage in laminations, damage in frame of stator and faults in stator winding. As per study of IEEE and EPRI, most frequent fault is stator fault, which is approximately 28–36 % of overall faults [1, 2]. Majority of these faults are due to a combination of above stresses.



It is essential to detect and diagnose such faults at the early stage through measurement and monitoring of changes in the magnetic flux of the BLDC motor in the motor windings and stator slots. In this paper, brushless dc motor and its stator, rotor and windings are designed using FEA method .Changes in magnetic flux of each of the element in the motor are monitored in case of the change in the air gap between rotor and stator .Changes in the magnetic flux ,current are analysed using model of healthy and faulty motors with static and dynamic eccentricity faults. The results indicate detection of faults at the early stages of operation of BLDC motor. This early detection and correction of faults will be useful in avoiding wear and tear .