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Diego Cabrera 0001
Person information
- affiliation: Dongguan University of Technology, China
- affiliation: Universidad Politécnica Salesiana, Cuenca, Ecuador
- affiliation (PhD 2018): University of Sevilla, Seville, Spain
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2020 – today
- 2024
- [j37]Rubén Medina
, René-Vinicio Sánchez
Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor. Sensors 24(2): 461 (2024) - [j36]René-Vinicio Sánchez
Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey. Sensors 24(16): 5400 (2024) - [j35]Ziqiang Pu
Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning. IEEE Trans. Ind. Informatics 20(10): 12189-12199 (2024) - 2023
- [j34]Diego Cabrera, María J. Quinteros, Mariela Cerrada, René-Vinicio Sánchez, Mario Guallpa, Fernando Sancho, Chuan Li:
Rainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City. Earth Sci. Informatics 16(2): 1373-1388 (2023) - [j33]Ziqiang Pu
Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot. Expert Syst. Appl. 222: 119754 (2023) - [j32]Mario Peña, Mariela Cerrada, Rubén Medina
Poincaré Plot Features and Statistical Features From Current and Vibration Signals for Fault Severity Classification of Helical Gear Tooth Breaks. J. Comput. Inf. Sci. Eng. 23(2) (2023) - [j31]Ziqiang Pu
Generative adversarial one-shot diagnosis of transmission faults for industrial robots. Robotics Comput. Integr. Manuf. 83: 102577 (2023) - 2022
- [j30]Fannia Pacheco
Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis. IEEE Access 10: 29778-29787 (2022) - [j29]Rodrigo de Paula Monteiro
A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines. Expert Syst. Appl. 204: 117528 (2022) - [j28]Ziqiang Pu
VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis. IEEE Intell. Syst. 37(3): 65-75 (2022) - [j27]Rubén Medina
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM. J. Intell. Manuf. 33(4): 1031-1055 (2022) - [j26]Ziqiang Pu
A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. IEEE Trans. Ind. Electron. 69(8): 8411-8419 (2022) - 2021
- [j25]Chuan Li
One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning. IEEE Trans. Ind. Electron. 68(9): 8768-8776 (2021) - [j24]Jingjing Zhong
Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j23]Diego Cabrera, Adriana Guamán, Shaohui Zhang, Mariela Cerrada
Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor. Neurocomputing 380: 51-66 (2020) - [j22]Wanjuan Zhang, Xiaodan Wang, Diego Cabrera, Yun Bai
Product Quality Reliability Analysis based on Rough Bayesian Network. Int. J. Perform. Eng. 16(1): 37-47 (2020) - [j21]Diego Cabrera
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification. Inf. Sci. 524: 1-14 (2020) - [j20]Jianwen Guo, Jiapeng Wu
Generative Transfer Learning for Intelligent Fault Diagnosis of the Wind Turbine Gearbox. Sensors 20(5): 1361 (2020) - [j19]Shaohui Zhang
Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers. IEEE Trans. Ind. Informatics 16(2): 779-789 (2020)
2010 – 2019
- 2019
- [j18]Diego Cabrera
Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery. IEEE Access 7: 70643-70653 (2019) - [j17]Rodrigo P. Monteiro
Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes. Comput. Intell. Neurosci. 2019: 1383752:1-1383752:13 (2019) - [j16]Chuan Li
A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis. IEEE Trans. Fuzzy Syst. 27(7): 1362-1382 (2019) - 2018
- [j15]Mariela Cerrada
A fuzzy transition based approach for fault severity prediction in helical gearboxes. Fuzzy Sets Syst. 337: 52-73 (2018) - [j14]René-Vinicio Sánchez
Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN. J. Intell. Fuzzy Syst. 34(6): 3463-3473 (2018) - [j13]Chuan Li
A comparison of fuzzy clustering algorithms for bearing fault diagnosis. J. Intell. Fuzzy Syst. 34(6): 3565-3580 (2018) - [j12]Mariela Cerrada
A semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes. J. Intell. Fuzzy Syst. 34(6): 3581-3593 (2018) - [j11]Diego Cabrera, Fernando Sancho, Mariela Cerrada
Echo state network and variational autoencoder for efficient one-class learning on dynamical systems. J. Intell. Fuzzy Syst. 34(6): 3799-3809 (2018) - 2017
- [j10]Diego Cabrera
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation. Appl. Soft Comput. 58: 53-64 (2017) - [j9]Fannia Pacheco
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery. Expert Syst. Appl. 71: 69-86 (2017) - [j8]Chuan Li
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification. Knowl. Based Syst. 129: 39-60 (2017) - [c3]Mariela Cerrada, Fannia Pacheco
SOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery. SOSE 2017: 28-37 - 2016
- [j7]Mariela Cerrada
Hierarchical feature selection based on relative dependency for gear fault diagnosis. Appl. Intell. 44(3): 687-703 (2016) - [j6]Chuan Li
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification. Eng. Appl. Artif. Intell. 50: 287-301 (2016) - [j5]Fannia Pacheco
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions. Neurocomputing 194: 192-206 (2016) - [j4]Chuan Li
Fuzzy determination of informative frequency band for bearing fault detection. J. Intell. Fuzzy Syst. 30(6): 3513-3525 (2016) - [j3]Chuan Li
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning. Sensors 16(6): 895 (2016) - [c2]Fannia Pacheco
Clustering algorithm using rough set theory for unsupervised feature selection. IJCNN 2016: 3493-3499 - [c1]Fannia Pacheco
A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery. LA-CCI 2016: 1-6 - 2015
- [j2]Chuan Li
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis. Neurocomputing 168: 119-127 (2015) - [j1]Mariela Cerrada
Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal. Sensors 15(9): 23903-23926 (2015)
Coauthor Index
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