الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Early fault detection, diagnosis, and prognosis especially for induction motor the industrial workhorse, have grasped the attention of many autheers it become essential to detect the fault, isolate it, find the cause, and estimate the new performance and the remaining lifetime of the machine.
The induction motor is reviewed in terms of types constructions equations and magnetic circuit. Fault detection techniques are then studied and classified this thesis is concerned with stator winding and rotor bars fault detection.
Stator failures are classified, and the effect of various stresses on the stator lifetime and how do causes contribute to stator failure are studied. A techque known as modelbased . diagnostic technique studies the behavior of the stator under abnormal condition
Many authors studied this case in their researches, and in this the squirrel –cage induction motor is taken as a case study for practical venficatiui Aneural network programm is written to identify the stator failure type directly.
The rotor failures are also classified and the effect of various stresses on the rotor lifetime and how do causes contribute to the premature failure are studied A techinque known as motor current signature analysis (MCSA) is used to study the behavior of the rotor under abnormal conditions, especially in broken bars. Moreover the finite element method is used in association with the (MCSA) technique, the signature of the mangetic field distribution is simulated and related to detect the broken bars analytically