Constantin Apostoaia

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This paper presents an neural network based approach to identify in real time faulty components found on industrial brushless exciters. A brushless exciter or “rotating rectifier” is a key component of a synchronous motor. Improper operation of this component can prove costly for the motor’s owner. A method is based on Fourier analysis combined with the use(More)
The power electronic converters, electric machines, and mechanical loads are key parts of the electric drives systems, and these components are usually modeled and analyzed using specific simulation tools. The overall performances of the electric drives are influenced by system's interconnected components. One solution, to investigate the interaction(More)
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