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Rene de Jesus Romero-Troncoso

Rene de Jesus Romero-Troncoso

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
8221
World Ranking
3398
National Ranking
8

Overview

Rene de Jesus Romero-Troncoso is affiliated with the Autonomous University of Queretaro in Mexico. Their primary field of study is engineering, with significant contributions in subfields including control and systems engineering, electrical and electronic engineering, mechanical engineering, civil and structural engineering, and electronic, optical and magnetic materials.

The scientist's research work focuses on a range of topics, prominently featuring machine fault diagnosis techniques, power quality and harmonics, magnetic properties and applications, gear and bearing dynamics analysis, fault detection and control systems, structural health monitoring techniques, and power transformer diagnostics and insulation.

Recent publications by Rene de Jesus Romero-Troncoso include:

  • Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review, 2021, IEEE Transactions on Industrial Informatics
  • Early Detection of Faults in Induction Motors-A Review, 2022, Energies
  • Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults, 2020, IEEE Transactions on Industrial Informatics
  • Automatic diagnosis of electromechanical faults in induction motors based on the transient analysis of the stray flux via MUSIC methods, 2020, IEEE Transactions on Industry Applications
  • Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor, 2021, Measurement

They have published extensively in several venues, with frequent contributions to:

  • Energies
  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Industrial Informatics
  • Applied Sciences
  • 2022 International Conference on Electrical Machines (ICEM)

Collaboration is a notable aspect of their research career. Frequent co-authors include Daniel Moríñigo-Sotelo, Roque A. Osornio-Rios, Tomas Garcia-Calva, David A. Elvira-Ortiz, and Juan José Saucedo-Dorantes.

Best Publications

  • Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks

    Martin Valtierra-Rodriguez;Rene de Jesus Romero-Troncoso;Roque Alfredo Osornio-Rios;Arturo Garcia-Perez

  • Methodology for fault detection in induction motors via sound and vibration signals

    Paulo Antonio Delgado-Arredondo;Daniel Morinigo-Sotelo;Roque Alfredo Osornio-Rios;Juan Gabriel Avina-Cervantes

  • Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review

    David Granados-Lieberman;R.J. Romero-Troncoso;R.A. Osornio-Rios;A. Garcia-Perez

  • Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings

    Carlos A. Perez-Ramirez;Juan P. Amezquita-Sanchez;Martin Valtierra-Rodriguez;Hojjat Adeli

  • The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors

    A Garcia-Perez;Rene de Jesus Romero-Troncoso;E Cabal-Yepez;R A Osornio-Rios

  • Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation

    Unknown

  • Reconfigurable Monitoring System for Time-Frequency Analysis on Industrial Equipment Through STFT and DWT

    E. Cabal-Yepez;A. G. Garcia-Ramirez;Rene J. Romero-Troncoso;A. Garcia-Perez

  • New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

    Carlos A. Perez-Ramirez;Juan Pablo Amezquita-Sanchez;Hojjat Adeli;Martin Valtierra-Rodriguez

  • Recent Industrial Applications of Infrared Thermography: A Review

    Roque Alfredo Osornio-Rios;Jose Alfonso Antonino-Daviu;Rene de Jesus Romero-Troncoso

  • FPGA-Based Online Detection of Multiple Combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference

    Rene J. Romero-Troncoso;R. Saucedo-Gallaga;E. Cabal-Yepez;A. Garcia-Perez

  • PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems

    Arturo Y. Jaen-Cuellar;Rene de J. Romero-Troncoso;Luis Morales-Velazquez;Roque A. Osornio-Rios

  • Early Fault Detection in Induction Motors Using AdaBoost With Imbalanced Small Data and Optimized Sampling

    Ignacio Martin-Diaz;Daniel Morinigo-Sotelo;Oscar Duque-Perez;Rene de J. Romero-Troncoso

  • Sensorless tool failure monitoring system for drilling machines

    Luis Alfonso Franco-Gasca;Gilberto Herrera-Ruiz;Rocío Peniche-Vera;René de Jesús Romero-Troncoso

  • Fault detection in induction motors and the impact on the kinematic chain through thermographic analysis

    Armando Guadalupe Garcia-Ramirez;Luis Alberto Morales-Hernandez;Roque Alfredo Osornio-Rios;Juan Primo Benitez-Rangel

  • Novel Methodology for Online Half-Broken-Bar Detection on Induction Motors

    J. Rangel-Magdaleno;R. Romero-Troncoso;R.A. Osornio-Rios;E. Cabal-Yepez

  • Multirate Signal Processing to Improve FFT-Based Analysis for Detecting Faults in Induction Motors

    Rene de Jesus Romero-Troncoso

  • Smart sensor network for power quality monitoring in electrical installations

    Luis Morales-Velazquez;Rene de Jesus Romero-Troncoso;Gilberto Herrera-Ruiz;Daniel Morinigo-Sotelo

  • Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis

    David Camarena-Martinez;Martin Valtierra-Rodriguez;Carlos Andres Perez-Ramirez;Juan Pablo Amezquita-Sanchez

  • Multifault Diagnosis Method Applied to an Electric Machine Based on High-Dimensional Feature Reduction

    Juan Jose Saucedo-Dorantes;Miguel Delgado-Prieto;Roque Alfredo Osornio-Rios;Rene de Jesus Romero-Troncoso

  • Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review

    Israel Zamudio-Ramirez;Roque A Alfredo Osornio-Rios;Jose Alfonso Antonino-Daviu;Hubert Razik

  • An Experimental Comparative Evaluation of Machine Learning Techniques for Motor Fault Diagnosis Under Various Operating Conditions

    Ignacio Martin-Diaz;Daniel Morinigo-Sotelo;Oscar Duque-Perez;Rene J. Romero-Troncoso

  • Evaluation of the Detectability of Electromechanical Faults in Induction Motors Via Transient Analysis of the Stray Flux

    Juan A. Ramirez-Nunez;Jose A. Antonino-Daviu;Vicente Climente-Alarcon;Alfredo Quijano-Lopez

Frequent Co-Authors

Jose A. Antonino-Daviu
Jose A. Antonino-Daviu Universitat Politècnica de València
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville

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