David Granados-Lieberman

Orcid: 0000-0001-6692-5469

According to our database1, David Granados-Lieberman authored at least 16 papers between 2008 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FPGA-based quaternion signal analysis of vibration signals for crack classification in wind turbine blades.
Comput. Electr. Eng., 2026

2025
Experimental ANN-Based Vibration Frequency Model for Transformers Under Different Conditions.
IEEE Trans. Instrum. Meas., 2025

A Gramian Angular Field-Based Convolutional Neural Network Approach for Crack Detection in Low-Power Turbines from Vibration Signals.
Inf., 2025

Hardware-Software System for Biomass Slow Pyrolysis: Characterization of Solid Yield via Optimization Algorithms.
Comput., 2025

Modeling of Global and Individual Kinetic Parameters in Wheat Straw Torrefaction: Particle Swarm Optimization and Its Impact on Elemental Composition Prediction.
Algorithms, 2025

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

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

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

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

2012
Smart Sensor for Online Detection of Multiple-Combined Faults in VSD-Fed Induction Motors.
Sensors, 2012

2009
A Real-Time Smart Sensor for High-Resolution Frequency Estimation in Power Systems.
Sensors, 2009

2008
Análisis simplificado para la deteccíon de barras rotas en motores de induccíon.
Res. Comput. Sci., 2008


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