Pablo Lucero
Pablo Lucero
Electronics Engineer (Research assistant-GIDTEC)
Verified email at est.ups.edu.ec
Title
Cited by
Cited by
Year
Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN
RV Sanchez, P Lucero, RE Vasquez, M Cerrada, JC Macancela, ...
Journal of Intelligent & Fuzzy Systems 34 (6), 3463-3473, 2018
242018
Vibration signal analysis using symbolic dynamics for gearbox fault diagnosis
R Medina, JC Macancela, P Lucero, D Cabrera, M Cerrada, RV Sánchez, ...
The International Journal of Advanced Manufacturing Technology 104 (5), 2195 …, 2019
112019
Multi-fault diagnosis of rotating machinery by using feature ranking methods and SVM-based classifiers
RV Sánchez, P Lucero, JC Macancela, M Cerrada, RE Vásquez, ...
2017 International conference on sensing, diagnostics, prognostics, and …, 2017
112017
Feature engineering based on anova, cluster validity assessment and knn for fault diagnosis in bearings
M Peña, M Cerrada, X Alvarez, D Jadán, P Lucero, B Milton, R Guamán, ...
Journal of Intelligent & Fuzzy Systems 34 (6), 3451-3462, 2018
92018
A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals
RV Sánchez, P Lucero, RE Vásquez, M Cerrada, D Cabrera
IFAC-PapersOnLine 51 (24), 346-352, 2018
82018
SOA based integrated software to develop fault diagnosis models using machine learning in rotating machinery
M Cerrada, F Pacheco, RV Sánchez, D Cabrera, J Macancela, P Lucero
2017 IEEE Symposium on Service-Oriented System Engineering (SOSE), 28-37, 2017
52017
Accelerometer placement comparison for crack detection in railway axles using vibration signals and machine learning
P Lucero, RV Sánchez, JC Macancela, D Cabrera, M Cerrada, C Li, ...
2019 Prognostics and System Health Management Conference (PHM-Paris), 291-296, 2019
22019
ANOVA and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
M Pena, X Alvarez, D Jadán, P Lucero, M Barragán, R Guamán, ...
2017 International Conference on Sensing, Diagnostics, Prognostics, and …, 2017
22017
Gear crack level classification by using knn and time-domain features from acoustic emission signals under different motor speeds and loads
RV Sánchez, P Lucero, JC Macancela, M Cerrada, D Cabrera, R Vásquez
Proceedings-2018 international conference on sensing, diagnostics …, 2019
12019
Implementation of a virtual velocity sensor for a DC motor through artificial neural networks in a FPGA system
RA Zapatán, PM Lúcero, EE Armijos, J Coronel, DR Cabrera
2015 CHILEAN Conference on Electrical, Electronics Engineering, Information …, 2015
12015
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM
R Medina, JC Macancela, P Lucero, D Cabrera, RV Sánchez, M Cerrada
Journal of Intelligent Manufacturing, 1-25, 2020
2020
Evaluation of Time and Frequency Condition Indicators from Vibration Signals for Crack Detection in Railway Axles
RV Sánchez, P Lucero, JC Macancela, H Rubio Alonso, M Cerrada, ...
Applied Sciences 10 (12), 4367, 2020
2020
A LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox
R Medina, JC Macancela, P Lucero, D Cabrera, C Li, M Cerrada, ...
2019 International Conference on Sensing, Diagnostics, Prognostics, and …, 2019
2019
Influence of Accelerometer Position on Gearbox Fault Severity Classification through Evaluation of Deep Learning Models
JC Macancela, D Cabrera, P Lucero, M Cerrada, C Li, S Villacrés, ...
2019 Prognostics and System Health Management Conference (PHM-Paris), 303-308, 2019
2019
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