Diego Cabrera

发表

Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time-frequency ridge enhancement.

Chuan Li, Vinicio Sanchez, G. Zurita, 2016, ISA transactions.

Fault Classification in a Reciprocating Compressor and a Centrifugal Pump Using Non-Linear Entropy Features

Diego Cabrera, M. Cerrada, E. Estupiñan, 2022, Mathematics.

Hierarchical feature selection based on relative dependency for gear fault diagnosis

Chuan Li, G. Zurita, Diego Cabrera, 2016, Applied Intelligence.

Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram

Diego Cabrera, Mariela Cerrada, Chuan Li, 2016 .

Fuzzy determination of informative frequency band for bearing fault detection

Diego Cabrera, Chuan Li, José Valente de Oliveira, 2016, J. Intell. Fuzzy Syst..

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

Diego Cabrera, Chuan Li, Rafael E. Vásquez, 2015, Neurocomputing.

Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring

Dong Wang, Chuan Li, Diego Cabrera, 2021, IEEE Transactions on Instrumentation and Measurement.

Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN

Diego Cabrera, Rafael E. Vásquez, Pablo Lucero, 2018, J. Intell. Fuzzy Syst..

Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM

Diego Cabrera, René-Vinicio Sánchez, Rubén Medina, 2020, Journal of Intelligent Manufacturing.

Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery

Diego Cabrera, Fernando Sancho, Mariela Cerrada, 2019, IEEE Access.

A review on data-driven fault severity assessment in rolling bearings

Diego Cabrera, Mariela Cerrada, Chuan Li, 2018 .

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery

Diego Cabrera, René-Vinicio Sánchez, Chuan Li, 2017, Expert Syst. Appl..

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

Diego Cabrera, Chuan Li, René-Vinicio Sánchez, 2016, Sensors.

Technology selection for Industry 4.0 oriented condition-based monitoring system: A case study in the paper mills industry

Diego Cabrera, M. Cerrada, Jean-Carlo Macancela, 2022, IFAC-PapersOnLine.

Using the Kullback-Leibler Divergence and Kolmogorov-Smirnov Test to Select Input Sizes to the Fault Diagnosis Problem Based on a CNN Model

Diego Cabrera, Mariela Cerrada, Carmelo J. A. Bastos-Filho, 2021, Learning and Nonlinear Models.

Echo state network and variational autoencoder for efficient one-class learning on dynamical systems

Diego Cabrera, Felipe A. Tobar, René-Vinicio Sánchez, 2018, J. Intell. Fuzzy Syst..

A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery

René Vinicio Sánchez, Diego Cabrera, Mariela Cerrada, 2016, 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Fault diagnosis in spur gears based on genetic algorithm and random forest

Diego Cabrera, Mariela Cerrada, Chuan Li, 2016 .

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Diego Cabrera, Mariela Cerrada, Chuan Li, 2016 .

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

René Vinicio Sánchez, Chuan Li, Mariela Cerrada, 2019, IEEE Transactions on Fuzzy Systems.

Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes

Carmelo J. A. Bastos Filho, René-Vinicio Sánchez, Mariela Cerrada-Lozada, 2019, Comput. Intell. Neurosci..

Exploiting Generative Adversarial Networks as an Oversampling Method for Fault Diagnosis of an Industrial Robotic Manipulator

Diego Cabrera, René-Vinicio Sánchez, Mariela Cerrada, 2020, Applied Sciences.

Observer-biased bearing condition monitoring: From fault detection to multi-fault classification

Diego Cabrera, René-Vinicio Sánchez, Grover Zurita, 2016, Eng. Appl. Artif. Intell..

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Diego Cabrera, Chuan Li, Gözde Ulutagay, 2018, J. Intell. Fuzzy Syst..

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego Cabrera, Fernando Sancho, Mariela Cerrada, 2015 .

Transmission Condition Monitoring of 3D Printers Based on the Echo State Network

Diego Cabrera, Jianyu Long, Kun He, 2019, Applied Sciences.

AutoML for Feature Selection and Model Tuning Applied to Fault Severity Diagnosis in Spur Gearboxes

Daniel E. Hernández, L. Trujillo, Diego Cabrera, 2022, Mathematical and Computational Applications.

Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers

Diego Cabrera, Jianyu Long, Chuan Li, 2020, IEEE Transactions on Industrial Informatics.

From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine.

Chuan Li, Diego Cabrera, Fernando Sancho, 2020, ISA transactions.

A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification

José Valente de Oliveira, René-Vinicio Sánchez, Luiz Ledo, 2017, Knowl. Based Syst..

Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

Diego Cabrera, Chuan Li, René-Vinicio Sánchez, 2015, Sensors.

Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation

Diego Cabrera, Chuan Li, José Valente de Oliveira, 2017, Appl. Soft Comput..

Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification

Diego Cabrera, Fernando Sancho, Chuan Li, 2020, Inf. Sci..

A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals

Diego Cabrera, Rafael E. Vásquez, Pablo Lucero, 2018 .

A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions

Diego Cabrera, René-Vinicio Sánchez, Grover Zurita, 2016, Neurocomputing.

A fuzzy transition based approach for fault severity prediction in helical gearboxes

Diego Cabrera, Chuan Li, José Valente de Oliveira, 2016, Fuzzy Sets Syst..

Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor

Diego Cabrera, Jianyu Long, Shaohui Zhang, 2020, Neurocomputing.

Hierarchical feature selection based on relative dependency for gear fault diagnosis

Diego Cabrera, René-Vinicio Sánchez, Grover Zurita, 2015, Applied Intelligence.

A REVIEW OF VIBRATION MACHINE DIAGNOSTICS BY USING ARTIFICIAL INTELLIGENCE METHODS

Diego Cabrera, Grover Zurita, Vinicio Sanchez, 2016 .

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

Chuan Li, Diego Cabrera, M. Guallpa, 2023, Earth Science Informatics.

Gearbox Broken Tooth Severity Classification using EMD of Acoustic Emission Signals

Diego Cabrera, M. Cerrada, Rubén Medina, 2022, 2022 IEEE Sixth Ecuador Technical Chapters Meeting (ETCM).

Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump

Diego Cabrera, M. Cerrada, Chuan Li, 2023, IEEE/ASME transactions on mechatronics.

Reciprocating Compressor Multi-Fault Classification Using Symbolic Dynamics and Complex Correlation Measure

Diego Cabrera, René-Vinicio Sánchez, Mariela Cerrada, 2020, Applied Sciences.

Poincaré Plot Features and Statistical Features From Current and Vibration Signals for Fault Severity Classification of Helical Gear Tooth Breaks

Diego Cabrera, Rubén Medina, Réne-Vinicio Sánchez, 2022, J. Comput. Inf. Sci. Eng..

Data-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift

Diego Cabrera, M. Cerrada, L. Lanzarini, 2021, 2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM).

Deep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals

Diego Cabrera, René-Vinicio Sánchez, Chuan Li, 2019, 2019 Prognostics and System Health Management Conference (PHM-Paris).

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot

Diego Cabrera, José Valente de Oliveira, Chuan Li, 2023, Expert Syst. Appl..

Vibration signal analysis using symbolic dynamics for gearbox fault diagnosis

Mariela Cerrada, Rubén Medina, Rafael E. Vásquez, 2019, The International Journal of Advanced Manufacturing Technology.

A LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox

Chuan Li, René-Vinicio Sánchez, Rafael E. Vásquez, 2019, 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).