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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 ldquorotating rectifierrdquo 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 of neural networks is presented...
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