Application of deep neural network in a mobile application for classifying failures of an induction motor
[ 1 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Elektryczny, Politechnika Poznańska | [ S ] student | [ P ] pracownik
2019
artykuł naukowy
polski
- diagnostics of cage induction motor
- intel movidius
- neural networks
- inter-turn short-circuits
EN 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.
167 - 176
witryna wydawcy
ostateczna wersja opublikowana
w momencie opublikowania
publiczny
5
5