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Detection of Stator Asymmetries in Induction Motors Through the Time-Frequency Analysis of Currents.

, , , , , и . IECON, стр. 1-6. IEEE, (2023)

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Vicente Almazán

Vicente Jakas

Vicente Acuña

Alfonso Monterde-Garcia

Vicente Cortés

 

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Fault Detection in Soft-started Induction Motors using Convolutional Neural Network Enhanced by Data Augmentation Techniques., , , , и . IECON, стр. 1-6. IEEE, (2021)Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals., , , , и . Sensors, 23 (1): 316 (2023)Automatic classification of stator asymmetries and insulation thermal damages in induction motors, applying persistence spectrum and a convolutional neural network to the stray-flux signals., , , , , и . ISIE, стр. 1-6. IEEE, (2023)Induction Motor Stray Flux Analysis Proposal for Machine Learning Targeted Applications., , , и . IECON, стр. 1-7. IEEE, (2023)Detection of corrosion in ball bearings through the computation of statistical indicators of stray-flux signals., , , , , , , и . IECON, стр. 1-6. IEEE, (2022)Detection of Stator Asymmetries in Induction Motors Through the Time-Frequency Analysis of Currents., , , , , и . IECON, стр. 1-6. IEEE, (2023)Application of Stray Flux Analysis for Rotor Fault Detection in Soft-Started Induction Motors., , и . IECON, стр. 1-5. IEEE, (2021)