Inter Turn Short-Circuit Detection In Vector Controlled Pms Motor Using Ai
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This paper deals with the diagnostics of inter turn faults in a vector controlled synchronous motor with permanent magnets. Inter turn faults are detected by a convolution neural network from adequately preprocessed current signals of the stator phases. The goal is to create a model within which different severity of inter turn faults will be simulated. Data from the simulations are preprocessed and transformed using Wavelet transform and the resulting scalograms are fed to a pre-trained convolution neural network GoogLeNet. This neural network’s diagnostic capabilities are tested on a physical drive, capable of emulating faults.
KeywordsPMSM, ITF, Inter turn fault, Inter turn short-circuit, Vector control, Convolutional neural network, Motor fault diagnostics
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 63-66. ISBN 978-80-214-5867-3
- Student EEICT 2020