Juan Pablo Amezquita-Sanchez - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 18 from 18

2024

A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signalsAndrea V. Perez-Sanchez, Juan Pablo Amezquita-Sanchez, Martin Valtierra-Rodriguez, Hojjat Adeli. bspc, 88(Part B):105659, February 2024. [doi]

2023

Supervised Machine-Learning Methodology for Industrial Robot Positional Health Using Artificial Neural Networks, Discrete Wavelet Transform, and Nonlinear IndicatorsErvin Galan-Uribe, Juan Pablo Amezquita-Sanchez, Luis Morales-Velazquez. sensors, 23(6):3213, March 2023. [doi]

Analysis of Vibration Signals Based on Machine Learning for Crack Detection in a Low-Power Wind TurbineAngel H. Rangel-Rodriguez, David Granados-Lieberman, Juan Pablo Amezquita-Sanchez, Maximiliano Bueno-Lopez, Martin Valtierra-Rodriguez. entropy, 25(8):1188, August 2023. [doi]

2021

Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGAJose R. Huerta-Rosales, David Granados-Lieberman, Arturo Garcia-Perez, David Camarena-Martinez, Juan Pablo Amezquita-Sanchez, Martin Valtierra-Rodriguez. sensors, 21(11):3598, 2021. [doi]

Natural Frequencies Identification by FEM Applied to a 2-DOF Planar Robot and Its Validation Using MUSIC AlgorithmSalvador Martínez-Cruz, Juan Pablo Amezquita-Sanchez, Gerardo I. Pérez-Soto, Jesus Rooney Rivera-Guillen, Luis A. Morales-Hernández, Karla Anhel Camarillo-Gómez. sensors, 21(4):1209, 2021. [doi]

An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic SignalsOlivia Vargas-Lopez, Carlos A. Perez-Ramirez, Martin Valtierra-Rodriguez, Jesus J. Yanez-Borjas, Juan Pablo Amezquita-Sanchez. sensors, 21(9):3155, 2021. [doi]

ECG-Based Identification of Sudden Cardiac Death through Sparse RepresentationsJosue R. Velázquez-González, Hayde Peregrina-Barreto, Jose de Jesus Rangel-Magdaleno, Juan Manuel Ramírez-Cortés, Juan Pablo Amezquita-Sanchez. sensors, 21(22):7666, 2021. [doi]

2020

Model reference Neural Network-based methodology for vibration control in a five-story steel structureCarlos A. Perez-Ramirez, Aurelio Dominguez-Gonzalez, Manuel Toledano-Ayala, Juan Pablo Amezquita-Sanchez, Martin Valtierra-Rodriguez. iceee 2020: 1-6 [doi]

Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction MotorsMartin Valtierra-Rodriguez, Jesus Rooney Rivera-Guillen, Jesus A. Basurto-Hurtado, J. Jesus de Santiago-Perez, David Granados-Lieberman, Juan Pablo Amezquita-Sanchez. sensors, 20(13):3721, 2020. [doi]

A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death DetectionOlivia Vargas-Lopez, Juan Pablo Amezquita-Sanchez, J. Jesus de Santiago-Perez, Jesus Rooney Rivera-Guillen, Martin Valtierra-Rodriguez, Manuel Toledano-Ayala, Carlos A. Perez-Ramirez. sensors, 20(1):9, 2020. [doi]

2018

A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG SignalsJuan Pablo Amezquita-Sanchez, Martin Valtierra-Rodriguez, Hojjat Adeli, Carlos A. Perez-Ramirez. jms, 42(10), 2018. [doi]

Incipient Broken Rotor Bar Detection in Induction Motors Using Vibration Signals and the Orthogonal Matching Pursuit AlgorithmCarlos Morales-Perez, Jose de Jesus Rangel-Magdaleno, Hayde Peregrina-Barreto, Juan Pablo Amezquita-Sanchez, Martin Valtierra-Rodriguez. tim, 67(9):2058-2068, 2018. [doi]

2017

A scheme based on PMU data for power quality disturbances monitoringArturo Mejia-Barron, Juan Pablo Amezquita-Sanchez, Aurelio Dominguez-Gonzalez, Martin Valtierra-Rodriguez, Jose R. Razo-Hernandez, David Granados-Lieberman. iecon 2017: 3270-3275 [doi]

Wavelet transform-fractal dimension-based methodology for damage assessment in truss type structuresFrancisco J. Perez-Macias, Carlos A. Perez-Ramirez, Martin Valtierra-Rodriguez, Aurelio Dominguez-Gonzalez, Juan Pablo Amezquita-Sanchez. iecon 2017: 3251-3256 [doi]

2016

Novel Downsampling Empirical Mode Decomposition Approach for Power Quality AnalysisDavid Camarena-Martinez, Martin Valtierra-Rodriguez, Carlos Andres Perez-Ramirez, Juan Pablo Amezquita-Sanchez, René de Jesús Romero-Troncoso, Arturo Garcia-Perez. tie, 63(4):2369-2378, 2016. [doi]

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transformCarlos A. Perez-Ramirez, Juan Pablo Amezquita-Sanchez, Hojjat Adeli, Martin Valtierra-Rodriguez, David Camarena-Martinez, René de Jesús Romero-Troncoso. eaai, 48:1-12, 2016. [doi]

2015

A new music-empirical wavelet transform methodology for time-frequency analysis of noisy nonlinear and non-stationary signalsJuan Pablo Amezquita-Sanchez, Hojjat Adeli. dsp, 45:55-68, 2015. [doi]

2012

MUSIC-ANN Analysis for Locating Structural Damages in a Truss-Type Structure by Means of VibrationsRoque Alfredo Osornio-Rios, Juan Pablo Amezquita-Sanchez, René de Jesús Romero-Troncoso, Arturo Garcia-Perez. cacie, 27(9):687-698, 2012. [doi]

Sign in or sign up to see more results.

runs on WebDSL