Online monitoring of induction motors is becoming increasingly important. Knowledge based fuzzy logic approach helps in diagnosing the induction motor faults. The current work presents an effective method for diagnosing the stator side faults such as double line fault and an unbalance fault. Stator condition is diagnosed based on the stator RMS values of current amplitude in addition to the knowledge expressed in rules and membership function. The model is implemented in MATLAB/SIMULINK with the data obtained under both healthy and faulty condition and has ability to work with variable speed drives.

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