الفهرس 
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Abstract
Induction machines are widely used in many industrial processes due to its robustness and reliability. The first objective of this thesis is to study the behavior of induction machines under different fault conditions. The induction machine failure modes are introduced and two types of these failure modes (Stator windings and rotor faults) are selected as examples.
The coupled circuits technique and the winding function theory are utilized to obtain a detailed induction machine model. Two detailed models based on the flux technique and the current technique are built on MATLAB/SIMULINK. Simulation results for the healthy motor under different operating conditions are obtained using the two models. The obtained results are then compared to each other in order to select the proper modeling technique. The selected model is used to model the induction machine under the different faulty cases and the performance is evaluated.
The second objective of this thesis is to study the different motor electrical signature analysis techniques as efficient and cost effective methods to monitor the condition of the induction motor. The stator current, Park’s current vector, Park’s current locus, the partial power spectrums, and the total power spectrum diagnostic techniques are selected for the study. Motor signatures using these selected diagnostic techniques are obtained for a healthy motor and a motor under the two selected fault modes with different load conditions. A comparison between these techniques is held based on the sensitivity to fault severity, the motor loading effect, and the practical implementation to get the final conclusion about when, why, and how these techniques can be used.