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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Inter turn short-circuit detection in vector controlled PMS motor using AI
 Zezula, Lukáš ; Kozovský, Matúš (referee) ; Blaha, Petr (advisor)
This thesis deals with the diagnostics of inter turn faults in a vector controlled synchronous motor with permanent magnets. Inter turn faults are detected by the pretrained convolution neural network GoogLeNet from adequately preprocessed signals of phase currents, inverter voltages and electrical angular velocity. Signal preprocesing includes, but is not limited to digital filtration, resampling and Wavelet transform. For the purpose of network training a drive system model is created, capable of simulating inter turn faults. The network is then trained on the simulated data and later validated with data measured on a real drive system, capable of emulating faults. The results of the diagnostics, together with the main problems are presented in the conclusion.
Detailed record
Inter turn short-circuit detection in vector controlled PMS motor using AI
 Zezula, Lukáš ; Kozovský, Matúš (referee) ; Blaha, Petr (advisor)
This thesis deals with the diagnostics of inter turn faults in a vector controlled synchronous motor with permanent magnets. Inter turn faults are detected by the pretrained convolution neural network GoogLeNet from adequately preprocessed signals of phase currents, inverter voltages and electrical angular velocity. Signal preprocesing includes, but is not limited to digital filtration, resampling and Wavelet transform. For the purpose of network training a drive system model is created, capable of simulating inter turn faults. The network is then trained on the simulated data and later validated with data measured on a real drive system, capable of emulating faults. The results of the diagnostics, together with the main problems are presented in the conclusion.
Detailed record

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