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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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Start-up analysis methods for the diagnosis of rotor asymmetries in induction motors-seeing is believing., , , , and . MED, page 372-377. IEEE, (2016)Automatic Detection of Rotor Faults in Induction Motors by Convolutional Neural Networks applied to Stray Flux Signals., , , and . ICIT, page 148-153. IEEE, (2021)Thermography-Based Method for the Fault Diagnosis of Magnetite-Contaminated Rolling Bearings., , , , , and . IECON, page 1-7. IEEE, (2023)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)Multifractal Spectrum and Higher Order Statistics for the Detection of Field Winding Faults in Wound Field Synchronous Motors., , , , , and . INDIN, page 1-7. IEEE, (2021)Current variation in a rotor bar during transients due to a hot spot., , , and . IECON, page 1246-1251. IEEE, (2015)Wavelet entropy to estimate the winding insulation healthiness in induction motors., , , and . IECON, page 3716-3722. IEEE, (2019)Detection of rotor faults via transient analysis of the external magnetic field., , , and . IECON, page 3815-3821. IEEE, (2017)Failure detection in industrial electric motors through the use of infrared-based isothermal representation., and . IECON, page 3822-3827. IEEE, (2017)A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform., , , , and . IEEE Trans. Ind. Electron., 55 (12): 4167-4180 (2008)