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Jesteś gościem nr:
532535
   

Szczegóły artykułu:

Wydawnictwo: Academic Journals Poznan University of Technology

Numer: 100/2019 Str: 167


Autorzy: Konrad Górny, Wojciech Pietrowski, Sebastian Kuroczycki


Tytuł: APPLICATION OF DEEP NEURAL NETWORK IN A MOBILE APPLICATION FOR CLASSIFYING FAILURES OF AN INDUCTION MOTOR


Streszczenie: The article presents the use of a deep neural network to classify failures of an induction motor. Failures are related to inter-turn short-circuits occurring in the stator circuit. The classification is applied as a mobile application using the Intel Movidius Neural Compute Stick. The state assessment was made on the basis of a database containing the results of continuous wavelet analysis of the torque waveforms of the motor for a different number of shorted turns. Various database configurations for the neural network used in the application have been considered.


Słowa kluczowe: diagnostics of cage induction motor, intel movidius, neural networks, inter-turn short-circuits.


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