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Condition monitoring and fault diagnosis of electrical motor drive systems

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2019
Demirel, Aykut
Increasing utilization of electrical machines results in an increasing demand of high reliability and safety. Especially in mission critical applications, unexpected failures of these machines may bring irrecoverable damages to the systems. Furthermore, such failures may be hazardous to human life in military or aerospace applications. One method to meet the reliability and safety requirement is introducing redundant modules to be used in case of an emergency. However, adding extra modules as substitutes increases overall cost, volume and complexity of the system. A better solution can be monitoring the machine condition continuously or running a test on the machine periodically to predict the failure before it causes a fatal damage to the system or human health. In this thesis, characteristics of possible machine faults are described. Methods for condition monitoring and fault detection are proposed. Different signal processing techniques are analyzed. Theoretical propositions are validated on an experimental test-rig. The results are examined to evaluate the accuracy of the proposed methods and possible further improvements are declared as future work.