Publicaciones en colaboración con investigadores/as de Universidad de Guanajuato (39)

2023

  1. Demagnetization Monitoring and Identification in PM Generators With Concentrated Windings During Transient Conditions

    IEEE Transactions on Industry Applications, Vol. 59, Núm. 2, pp. 1510-1518

2022

  1. A Comparative Analysis of Monitoring Signals for Bearing Wear Detection in VSI-fed Induction Motors during Startup Transient

    2022 International Conference on Electrical Machines, ICEM 2022

  2. Advanced Signal Processing Techniques for Demagnetization Detection in PM Generators at Variable Speed

    2022 International Conference on Electrical Machines, ICEM 2022

  3. Early Detection of Faults in Induction Motors—A Review

    Energies, Vol. 15, Núm. 21

  4. Fundamental Frequency Normalization for Reliable Detection of Rotor and Load Defects in VSD-Fed Induction Motors

    IEEE Transactions on Energy Conversion, Vol. 37, Núm. 2, pp. 1467-1474

  5. Improving Motor Imagery EEG Classification Based on Channel Selection Using a Deep Learning Architecture

    Mathematics, Vol. 10, Núm. 13

2021

  1. Detection and Identification of Demagnetization in PM Generators during Transient Conditions

    2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2021

  2. Early detection of broken rotor bars in inverter-fed induction motors using speed analysis of startup transients

    Energies, Vol. 14, Núm. 5

2020

  1. Time-frequency analysis based on minimum-norm spectral estimation to detect induction motor faults

    Energies, Vol. 13, Núm. 15

2019

  1. Demodulation Technique for Broken Rotor Bar Detection in Inverter-Fed Induction Motor Under Non-Stationary Conditions

    IEEE Transactions on Energy Conversion, Vol. 34, Núm. 3, pp. 1496-1503

  2. Experimental validation of the broken rotor bar fault evolution in line-fed induction motors

    2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

  3. Fractional calculus-based processing for feature extraction in harmonic-polluted fault monitoring systems

    Energies, Vol. 12, Núm. 19

  4. Reassigned Short Time Fourier Transform and K-means method for diagnosis of broken rotor bar detection in VSD-fed induction motors

    Advances in Electrical and Computer Engineering, Vol. 19, Núm. 2, pp. 61-68

  5. Rotor Fault Detection in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transient

    Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019

2018

  1. An Experimental Comparative Evaluation of Machine Learning Techniques for Motor Fault Diagnosis under Various Operating Conditions

    IEEE Transactions on Industry Applications

  2. Hybrid algorithmic approach oriented to incipient rotor fault diagnosis on induction motors

    ISA Transactions, Vol. 80, pp. 427-438

  3. Power quality monitoring system under different environmental and electric conditions

    Proceedings of International Conference on Harmonics and Quality of Power, ICHQP

  4. Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC

    IEEE Transactions on Industry Applications

2017

  1. Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis

    Electric Power Systems Research, Vol. 152, pp. 18-26

  2. Discriminating the lubrication condition from the rotor bearing fault in induction motors using Margenau-Hill frequency distribution and artificial neural networks

    Industrial Lubrication and Tribology, Vol. 69, Núm. 6, pp. 970-979