Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network

Amin Ghafouri Matanagh^*, Salih Baris Ozturk^*, Taner Goktas, Omar Hegazy

^*Corresponding author for this work

Department of Electrical Engineering

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Istanbul Technical University Researcher Yields New Study Findings on Emerging Technologies (Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained ...)
Ozturk, S. B.
26/01/24
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