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Roque Alfredo Osornio-Rios

Roque Alfredo Osornio-Rios

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6684
World Ranking
6593
National Ranking
11

Overview

Roque Alfredo Osornio-Rios is affiliated with the Autonomous University of Queretaro in Mexico and has published extensively in the field of engineering, with a primary focus on control and systems engineering, mechanical engineering, and electrical and electronic engineering. Their research spans various subfields including mechanics of materials and artificial intelligence.

Their recent publications include:

  • Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review, 2021, IEEE Transactions on Industrial Informatics
  • Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems, 2020, Sensors
  • Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults, 2020, IEEE Transactions on Industrial Informatics
  • Novel Methodology for Condition Monitoring of Gear Wear Using Supervised Learning and Infrared Thermography, 2020, Applied Sciences
  • Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review, 2022, Energies

Frequently collaborating with several co-authors, their main collaborators include José A. Antonino-Daviu, Israel Zamudio-Ramírez, Juan José Saucedo-Dorantes, Arturo Yosimar Jaen-Cuéllar, and René de Jesús Romero-Troncoso.

Roque Alfredo Osornio-Rios has contributed to various publication venues with the most frequent being Sensors, Applied Sciences, Energies, Electronics, and the 2022 International Conference on Electrical Machines (ICEM).

  • Sensors
  • Applied Sciences
  • Energies
  • Electronics
  • 2022 International Conference on Electrical Machines (ICEM)

Their research integrates topics centering around:

  • Machine Fault Diagnosis Techniques
  • Non-Destructive Testing Techniques
  • Fault Detection and Control Systems
  • Gear and Bearing Dynamics Analysis
  • Advanced machining processes and optimization
  • Power Quality and Harmonics
  • Advanced Machining and Optimization Techniques

In addition to articles, they have published a book chapter titled New Trends in the Use of Artificial Intelligence for the Industry 4.0 (2020) under the publisher IntechOpen.

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

  • 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

  • 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

  • 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

  • Human emotions detection based on a smart-thermal system of thermographic images

    Irving A. Cruz-Albarran;Juan P. Benitez-Rangel;Roque A. Osornio-Rios;Luis A. Morales-Hernandez

  • 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

  • Smart sensor network for power quality monitoring in electrical installations

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

  • MUSIC‐ANN Analysis for Locating Structural Damages in a Truss‐Type Structure by Means of Vibrations

    Roque Alfredo Osornio-Rios;Juan Pablo Amezquita-Sanchez;René de Jesús Romero-Troncoso;Arturo Garcia-Perez

  • 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

  • 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

  • FPGA implementation of higher degree polynomial acceleration profiles for peak jerk reduction in servomotors

    Roque Alfredo Osornio-Rios;René de Jesús Romero-Troncoso;Gilberto Herrera-Ruiz;Rodrigo Castañeda-Miranda

  • Vibration Control on Smart Civil Structures: A Review.

    Juan Pablo Amezquita-Sanchez;Aurelio Dominguez-Gonzalez;Ramin Sedaghati;Rene de Jesus Romero-Troncoso

  • Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain

    Juan Jose Saucedo-Dorantes;Miguel Delgado-Prieto;Juan Antonio Ortega-Redondo;Roque Alfredo Osornio-Rios

  • The application of reconfigurable logic to high speed CNC milling machines controllers

    Roque Alfredo Osornio-Rios;Rene de Jesus Romero-Troncoso;Gilberto Herrera-Ruiz;Rodrigo Castañeda-Miranda

  • FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors

    E. Cabal-Yepez;M. Valtierra-Rodriguez;R.J. Romero-Troncoso;A. Garcia-Perez

  • Detection of Winding Asymmetries in Wound-Rotor Induction Motors via Transient Analysis of the External Magnetic Field

    Israel Zamudio-Ramirez;Jose Alfonso Antonino-Daviu;Roque A. Osornio-Rios;Rene de Jesus Romero-Troncoso

Frequent Co-Authors

Rene de Jesus Romero-Troncoso
Rene de Jesus Romero-Troncoso Autonomous University of Queretaro
Jose A. Antonino-Daviu
Jose A. Antonino-Daviu Universitat Politècnica de València
Ramin Sedaghati
Ramin Sedaghati Concordia University
Luis Romeral
Luis Romeral Universitat Politècnica de Catalunya
Hojjat Adeli
Hojjat Adeli The Ohio State University

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