Martin Valtierra-Rodriguez

Orcid: 0000-0003-3839-1396

According to our database1, Martin Valtierra-Rodriguez authored at least 22 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals.
Biomed. Signal Process. Control., February, 2024

2023
Analysis of Vibration Signals Based on Machine Learning for Crack Detection in a Low-Power Wind Turbine.
Entropy, August, 2023

2021
An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals.
Sensors, 2021

Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA.
Sensors, 2021

A neural network-based model for MCSA of inter-turn short-circuit faults in induction motors and its power hardware in the loop simulation.
Comput. Electr. Eng., 2021

2020
A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection.
Sensors, 2020

Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors.
Sensors, 2020

Model reference Neural Network-based methodology for vibration control in a five-story steel structure.
Proceedings of the 17th International Conference on Electrical Engineering, 2020

2018
Incipient Broken Rotor Bar Detection in Induction Motors Using Vibration Signals and the Orthogonal Matching Pursuit Algorithm.
IEEE Trans. Instrum. Meas., 2018

A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals.
J. Medical Syst., 2018

2017
Instantaneous Power Quality Indices Based on Single-Sideband Modulation and Wavelet Packet-Hilbert Transform.
IEEE Trans. Instrum. Meas., 2017

Design of a state observer to approximate signals by using the concept of fractional variable-order derivative.
Digit. Signal Process., 2017

Wavelet transform-fractal dimension-based methodology for damage assessment in truss type structures.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A scheme based on PMU data for power quality disturbances monitoring.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
A New Methodology for Tracking and Instantaneous Characterization of Voltage Variations.
IEEE Trans. Instrum. Meas., 2016

Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis.
IEEE Trans. Ind. Electron., 2016

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform.
Eng. Appl. Artif. Intell., 2016

2014
Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks.
IEEE Trans. Ind. Electron., 2014

Efficient discrete wavelet representation of electrical power disturbances by measuring energy concentration in the tiled time-frequency plane.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

2013
A Hilbert Transform-Based Smart Sensor for Detection, Classification, and Quantification of Power Quality Disturbances.
Sensors, 2013

FPGA-based instantaneous estimation of unbalance/symmetrical components through the Hilbert transform.
Proceedings of the IECON 2013, 2013

2010
FPGA-Based Online Detection of Multiple-Combined Faults through Information Entropy and Neural Networks.
Proceedings of the ReConFig'10: 2010 International Conference on Reconfigurable Computing and FPGAs, 2010


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