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Induction Motor Faults Diagnosis Using Fuzzy Logic

Show simple item record Gessmalla, Misara Mohammed Ahmed Supervisor,- Awadalla Taifour Ali 2015-03-26T07:41:28Z 2015-03-26T07:41:28Z 2014-07-01
dc.identifier.citation Gessmalla,Misara Mohammed Ahmed . Induction Motor Faults Diagnosis Using Fuzzy Logic /Misara Mohammed Ahmed Gessmalla;Awadalla Taifour Ali.-Khartoum: Sudan University of Science and Technology, College of Engineering, 2014.-69p :ill ;28cm .-M.Sc. en_US
dc.description Thesis en_US
dc.description.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. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Electrical Engineering en_US
dc.subject Microprocessor and Control en_US
dc.subject Engine failures en_US
dc.subject Engine Hittite en_US
dc.title Induction Motor Faults Diagnosis Using Fuzzy Logic en_US
dc.title.alternative تشخيص أعطال المحرك الحثي بإستخدام المنطق الغامض en_US
dc.type Thesis en_US

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