Publikationen, an denen er mitarbeitet Rene de Jesus Romero-Troncoso (42)

2024

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

    IEEE Transactions on Industry Applications, Vol. 60, Núm. 1, pp. 174-183

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

    2022 International Conference on Electrical Machines, ICEM 2022

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

    Energies, Vol. 15, Núm. 21

  3. Spectral Kurtosis Based Methodology for the Identification of Stationary Load Signatures in Electrical Signals from a Sustainable Building

    Energies, Vol. 15, Núm. 7

2021

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

    Energies, Vol. 14, Núm. 5

  2. Methodology for Power Quality Measurement Synchronization Based on GPS Pulse-Per-Second Algorithm

    IEEE Transactions on Instrumentation and Measurement, Vol. 70

  3. Power quality disturbance tracking based on a proprietary fpga sensor with gps synchronization

    Sensors, Vol. 21, Núm. 11

2020

  1. Fundamental frequency suppression for the detection of broken bar in induction motors at low slip and frequency

    Applied Sciences (Switzerland), Vol. 10, Núm. 12, pp. 1-17

  2. Genetic algorithm methodology for the estimation of generated power and harmonic content in photovoltaic generation

    Applied Sciences (Switzerland), Vol. 10, Núm. 2

  3. Methodology based on higher-order statistics and genetic algorithms for the classification of power quality disturbances

    IET Generation, Transmission and Distribution, Vol. 14, Núm. 20, pp. 4580-4592

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

    Energies, Vol. 13, Núm. 15

2019

  1. Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

  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. Genetic Algorithm Methodology for Broken Bar Detection in Induction Motor at Low Frequency and Load Operation

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

  4. Non-linear least squares methodology for suppressing the fundamental frequency in the analysis of electric signals

    Electric Power Systems Research, Vol. 175

  5. Photovoltaic power generation estimation using statistical features and artificial neural networks

    Journal of Scientific and Industrial Research, Vol. 78, Núm. 4, pp. 212-215

  6. 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

  7. 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

  8. Study of the harmonic and interharmonic content in electrical signals from photovoltaic generation and their relationship with environmental factors

    Journal of Renewable and Sustainable Energy, Vol. 11, Núm. 4