Fault detection and diagnosis of an induction motor using fuzzy logic

Induction motors are critical components in many industrial processes. Therefore online monitoring of induction motors is becoming increasingly important. The main difficulty in this task is the lack of an accurate analytical model to describe a faulty motor having different types of faults like winding faults. To model shorted stator turns, the model assumes that the one of the phase has two windings in series, representing the unaffected portion and the shorted portion. This work presents a reliable method for the detection of stator winding faults based on monitoring the stator current amplitudes. In this method, fuzzy logic is used to make decisions about the motor condition. The fuzzy system is able to identify the motor stator condition with high accuracy.