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Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals.

, , , , and . Sensors, 23 (1): 316 (2023)

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Fault Detection in Soft-started Induction Motors using Convolutional Neural Network Enhanced by Data Augmentation Techniques., , , , and . IECON, page 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., , , , and . Sensors, 23 (1): 316 (2023)Induction Motor Stray Flux Analysis Proposal for Machine Learning Targeted Applications., , , and . IECON, page 1-7. IEEE, (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., , , , , and . ISIE, page 1-6. IEEE, (2023)Detection of corrosion in ball bearings through the computation of statistical indicators of stray-flux signals., , , , , , , and . IECON, page 1-6. IEEE, (2022)Detection of Stator Asymmetries in Induction Motors Through the Time-Frequency Analysis of Currents., , , , , and . IECON, page 1-6. IEEE, (2023)Application of Stray Flux Analysis for Rotor Fault Detection in Soft-Started Induction Motors., , and . IECON, page 1-5. IEEE, (2021)