| As the workhorse of industry, the induction motor is extensively used and it represents a critical component in many industrial processes. Condition monitoring based on stator current spectrum analysis represents a low-cost, non-invasive and powerful method to monitor the motor's condition. This thesis focuses on identifying bearing related faults using stator current monitoring in a medium size induction motor. The airgap flux density distribution of the machine is analyzed to study the effects of stator and rotor slotting and skewing the rotor bars. Airgap eccentricity conditions are also included. A test rig designed specifically to introduce different degrees of airgap static eccentricity is explained. Simulation results, which verify these conditions in the spectrum, along with experimental work are discussed. The results indicate that current condition monitoring may be suitable for implementation in different industrial environments and its application may bring significant benefits for optimal performance of the induction motor. |
