Induction Motor Faults Diagnosis Using Fuzzy Logic

Abstract

In this thesis, simulation model of three-phase induction motor is constructed using (MATLAB and SIMULINK) to represent the model case of normal operator and faults existing. The method proposed is a combination of analytical and fuzzy logic approach techniques which can deal effectively with nonlinear dynamics and uncertainties. The fault severity of the system is evaluated based on the membership functions and rule base developed by the fuzzy logic system. 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 turn-turn short in one phase winding, break in stator winding and unbalance in input voltage .This thesis demonstrates the use of fuzzy logic as an extension to analytical system to enhance the overall performance of the system. 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.