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    Rene Vinicio Sanchez Loja
2019

Accelerometer Placement Comparison for Crack Detection in Railway Axles Using Vibration Signals and Machine Learning

Lucero, P., Sánchez, R. V., MacAncela, J. C., Cabrera, D., Cerrada, M., Li, C. & Alonso, H. R., 12 Jul 2019, p. 291-296. 6 p.

Research output: Contribution to conferenceChapter

Crack Detection
Crack detection
Vibration Signal
Accelerometer
Axles
1 Citation (Scopus)

A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering

Cerrada, M., Aguilar, J., Altamiranda, J. & Sánchez, R. V., 1 Nov 2019, In : Knowledge and Information Systems. 61, 2, p. 755-798 44 p.

Research output: Contribution to journalArticle

Heuristic algorithms
Rotating machinery
Unsupervised learning
Supervised learning
Failure analysis
15 Citations (Scopus)

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

Li, C., De Oliveira, J. V., Cerrada, M., Cabrera, D., Sanchez, R. V. & Zurita, G., 1 Jul 2019, In : IEEE Transactions on Fuzzy Systems. 27, 7, p. 1362-1382 21 p., 8510832.

Research output: Contribution to journalArticle

Bearings (structural)
Fault Diagnosis
Failure analysis
Gearbox
Prognosis

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

Cabrera, D., Guamán, A., Zhang, S., Cerrada, M., Sánchez, R. V., Cevallos, J., Long, J. & Li, C., 2019, In : Neurocomputing. 380, p. 51-66 16 p.

Research output: Contribution to journalArticle

Reciprocating compressors
Bayes Theorem
Long-Term Memory
Short-Term Memory
Failure analysis
1 Citation (Scopus)

Convolutional Neural Networks Using Fourier Transform Spectrogram to Classify the Severity of Gear Tooth Breakage

Monteiro, R., Bastos-Filho, C., Cerrada, M., Cabrera, D. & Sanchez, R. V., 11 Mar 2019, p. 490-496. 7 p.

Research output: Contribution to conferencePaper

gear teeth
transmissions (machine elements)
Spectrogram
Gearbox
Breakage

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

Medina, R., Cerrada, M., Cabrera, D., Sánchez, R. V., Li, C. & De Oliveira, J. V., 12 Jul 2019, p. 210-216. 7 p.

Research output: Contribution to conferencePaper

Acoustic Emission
Acoustic emissions
Pitting
Vibrations (mechanical)
Gears

Finite-time leaderless consensus control of a group of Euler-Lagrangian systems with backlash nonlinearities

Ao, W., Huang, J., Cui, Q. & Sanchez, R. V., 1 Nov 2019, In : Journal of the Franklin Institute. 356, 16, p. 9286-9301 16 p.

Research output: Contribution to journalArticle

Euler System
Lagrangian Systems
Nonlinearity
Multi agent systems
Multi-agent Systems

Gear Crack Level Classification by Using KNN and Time-Domain Features from Acoustic Emission Signals under Different Motor Speeds and Loads

Sanchez, R. V., Lucero, P., Macancela, J. C., Cerrada, M., Cabrera, D. & Vasquez, R., 11 Mar 2019, p. 465-470. 6 p.

Research output: Contribution to conferencePaper

Gearbox
Acoustic Emission
ranking
acoustic emission
Acoustic emissions
1 Citation (Scopus)

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

Cabrera, D., Sancho, F., Long, J., Sanchez, R. V., Zhang, S., Cerrada, M. & Li, C., 1 Jan 2019, In : IEEE Access. 7, p. 70643-70653 11 p., 8718595.

Research output: Contribution to journalArticle

Failure analysis
Machinery
Feature extraction
Classifiers
Mathematical transformations

GKFP: A new fuzzy clustering method applied to bearings diagnosis

Li, C., Cerrada, M., Sánchez, R. V., Cabrera, D., Ledo, L., Delgado, M. & De Oliveira, J. V., 4 Jan 2019, p. 1295-1300. 6 p.

Research output: Contribution to conferencePaper

Bearings (structural)
Fuzzy clustering
Fuzzy Clustering
Clustering Methods
Correlated Data

Influence of Accelerometer Position on Gearbox Fault Severity Classification through Evaluation of Deep Learning Models

MacAncela, J. C., Cabrera, D., Lucero, P., Cerrada, M., Li, C., Villacrés, S. & Sánchez, R. V., 12 Jul 2019, p. 303-308. 6 p.

Research output: Contribution to conferenceChapter

Gearbox
Accelerometer
Accelerometers
Fault
Evaluation

Multilayer Gated Recurrent Unit for Spur Gear Fault Diagnosis

Tao, Y., Wang, X., Sánchez, R. V., Yang, S. & Li, C., 12 Jul 2019, p. 90-95. 6 p.

Research output: Contribution to conferencePaper

Spur gears
Fault Diagnosis
Failure analysis
Multilayer
Multilayers
1 Citation (Scopus)

Spur Gear Fault Diagnosis Using a Multilayer Gated Recurrent Unit Approach with Vibration Signal

Tao, Y., Wang, X., Sanchez, R. V., Yang, S. & Bai, Y., 1 Jan 2019, In : IEEE Access. 7, p. 56880-56889 10 p., 8703047.

Research output: Contribution to journalArticle

Spur gears
Failure analysis
Multilayers
Support vector machines
2 Citations (Scopus)

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

Monteiro, R. P., Cerrada, M., Cabrera, DI. R., Sánchez, R. V. & Bastos-Filho, C. J. A., 1 Jan 2019, In : Computational Intelligence and Neuroscience. 2019, p. 1383752 1383752.

Research output: Contribution to journalArticle

Gearbox
Fault Diagnosis
Failure analysis
Support vector machines
Support Vector Machine
1 Citation (Scopus)

Vibration signal analysis using symbolic dynamics for gearbox fault diagnosis

Medina, R., Macancela, J. C., Lucero, P., Cabrera, D., Cerrada, M., Sánchez, R. V. & Vásquez, R. E., 1 Oct 2019, In : International Journal of Advanced Manufacturing Technology. 104, 5-8, p. 2195-2214 20 p.

Research output: Contribution to journalArticle

Signal analysis
Failure analysis
Condition monitoring
Dynamic analysis
Probability distributions

Wind turbine gearbox fault diagnosis using SAE-BP transfer neural network

Wang, Y., Yang, S. & Sánchez, R., 1 Jan 2019, In : International Journal of Performability Engineering. 15, 9, p. 2504-2514 11 p.

Research output: Contribution to journalArticle

Open Access
Wind turbines
Failure analysis
Neural networks
Fast Fourier transforms
Experiments
2018
5 Citations (Scopus)

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

Sánchez, R. V., Lucero, P., Vásquez, R. E., Cerrada, M. & Cabrera, D., 1 Jan 2018, In : IFAC-PapersOnLine. 51, 24, p. 346-352 7 p.

Research output: Contribution to journalArticle

Acoustic emissions
Pitting
Vibrations (mechanical)
Gears
Classifiers
26 Citations (Scopus)

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Li, C., Cerrada, M., Cabrera, D., Sanchez, R. V., Pacheco, F., Ulutagay, G. & Valente De Oliveira, J., 1 Jan 2018, p. 3565-3580. 16 p.

Research output: Contribution to conferencePaper

Bearings (structural)
Fuzzy Algorithm
Fuzzy clustering
Fuzzy Clustering
Fault Diagnosis
9 Citations (Scopus)

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

Cerrada, M., Li, C., Sánchez, R. V., Pacheco, F., Cabrera, D. & Valente de Oliveira, J., 15 Apr 2018, In : Fuzzy Sets And Systems. p. 52-73 22 p.

Research output: Contribution to journalArticle

Gearbox
Fault
Helical gears
Rotating machinery
Prediction

An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization

Chen, Z. Q., Wang, R. L., Sanchez, R. V., De Oliveira, J. V. & Li, C., 1 Jan 2018, In : Intelligent Data Analysis. 22, 2, p. 363-382 20 p.

Research output: Contribution to journalArticle

Continuous Optimization
Memetic Algorithm
Genomics
Genetic algorithms
Genetic Algorithm
118 Citations (Scopus)

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

Cerrada, M., Sánchez, R. V., Li, C., Pacheco, F., Cabrera, D., Valente de Oliveira, J. & Vásquez, R. E., 15 Jan 2018, In : Mechanical Systems and Signal Processing. p. 169-196 28 p.

Research output: Contribution to journalLiterature review

Bearings (structural)
Degradation
Fault detection
Failure analysis
Health
1 Citation (Scopus)
Gearbox
Classifiers
Unknown
Classifier
Machinery
7 Citations (Scopus)

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

Cabrera, D., Sancho, F., Cerrada, M., Sánchez, R. V. & Tobar, F., 1 Jan 2018, p. 3799-3809. 11 p.

Research output: Contribution to conferencePaper

Echo State Network
Time series
Dynamical systems
Dynamical system
Machine vibrations
1 Citation (Scopus)

Feature engineering based on ANOVA, cluster validity assessment and KNN for fault diagnosis in bearings

Peña, M., Cerrada, M., Alvarez, X., Jadán, D., Lucero, P., Milton, B., Guamán, R. & Sánchez, R. V., 1 Jan 2018, p. 3451-3462. 12 p.

Research output: Contribution to conferencePaper

Bearings (structural)
Cluster Validity
Analysis of variance (ANOVA)
Fault Diagnosis
Failure analysis
15 Citations (Scopus)

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

Sánchez, R. V., Lucero, P., Vásquez, R. E., Cerrada, M., Macancela, J. C. & Cabrera, D., 1 Jan 2018, p. 3463-3473. 11 p.

Research output: Contribution to conferencePaper

Rotating Machinery
Rotating machinery
Random Forest
Fault Diagnosis
Failure analysis
3 Citations (Scopus)

Gearbox fault classification using dictionary sparse based representations of vibration signals

Medina, R., Alvarez, X., Jadán, D., Macancela, J. C., Sánchez, R. V. & Cerrada, M., 1 Jan 2018, p. 3605-3618. 14 p.

Research output: Contribution to conferencePaper

Gearbox
Vibration Signal
Fault Detection
Glossaries
Fault detection

Gearbox fault diagnosis based on a novel hybrid feature reduction method

Wang, Y., Yang, S. & Sanchez, R. V., 1 Jan 2018, In : IEEE Access. p. 75813-75823 11 p.

Research output: Contribution to journalArticle

Principal component analysis
Failure analysis
Fault detection
Classifiers
Experiments
1 Citation (Scopus)

Poincaré plot features from vibration signal for gearbox fault diagnosis

Medina, R., Alvarez, X., Jadan, D., Cerrada, M., Sanchez, R. V. & Macancela, J. C., 4 Jan 2018, p. 1-6. 6 p.

Research output: Contribution to conferencePaper

Gearbox
Vibration Signal
Fault Diagnosis
Failure analysis
Poincaré
2017
24 Citations (Scopus)

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

Li, C., Ledo, L., Delgado, M., Cerrada, M., Pacheco, F., Cabrera, D., Sánchez, R. V. & Valente de Oliveira, J., 1 Aug 2017, In : Knowledge-Based Systems. p. 39-60 22 p.

Research output: Contribution to journalArticle

Bearings (structural)
Fuzzy systems
Bayesian Approach
Fuzzy Systems
Parameter estimation

A dictionary sparse based representation of vibration signals for gearbox fault detection

Medina, R., Alvarez, X., Jadan, D., Macancela, J. C., Sanchez, R. V. & Cerrada, M., 9 Dec 2017, p. 198-203. 6 p.

Research output: Contribution to conferencePaper

Glossaries
Fault detection
Rotating machinery
Analysis of variance (ANOVA)
2 Citations (Scopus)
Rotating Machinery
Rotating machinery
Statistical tests
Statistical test
Fault Diagnosis
2 Citations (Scopus)

Anova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery

Pena, M., Alvarez, X., Jadan, D., Lucero, P., Barragan, M., Guaman, R., Sanchez, V. & Cerrada, M., 9 Dec 2017, p. 69-74. 6 p.

Research output: Contribution to conferencePaper

Rotating machinery
Failure analysis
Feature extraction
Bearings (structural)
Analysis of variance (ANOVA)
42 Citations (Scopus)

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

Pacheco, F., Cerrada, M., Sánchez, R. V., Cabrera, D., Li, C. & Valente de Oliveira, J., 1 Apr 2017, In : Expert Systems with Applications. p. 69-86 18 p.

Research output: Contribution to journalArticle

Rotating Machinery
Rotating machinery
Rough set theory
Rough Set Theory
Feature Selection
22 Citations (Scopus)

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

Cabrera, D., Sancho, F., Li, C., Cerrada, M., Sánchez, R. V., Pacheco, F. & de Oliveira, J. V., 1 Sep 2017, In : Applied Soft Computing Journal. p. 53-64 12 p.

Research output: Contribution to journalArticle

Gearbox
Feature Extraction
Feature extraction
Time series
Fault
63 Citations (Scopus)

Deep neural networks-based rolling bearing fault diagnosis

Chen, Z., Deng, S., Chen, X., Li, C., Sanchez, R. V. & Qin, H., 1 Aug 2017, In : Microelectronics Reliability. p. 327-333 7 p.

Research output: Contribution to journalArticle

Bearings (structural)
Failure analysis
belief networks
Bayesian networks
coders

Framework for discovering unknown abnormal condition patterns in gearboxes using a semi-supervised approach

Pacheco, F., Cerrada, M. & Sanchez, R. V., 9 Dec 2017, p. 63-68. 6 p.

Research output: Contribution to conferencePaper

Heuristic algorithms
Rotating machinery
Labeling
Learning algorithms
Failure analysis
6 Citations (Scopus)

Multi-fault diagnosis of rotating machinery by using feature ranking methods and SVM-based classifiers

Sanchez, R. V., Lucero, P., Macancela, J. C., Cerrada, M., Vasquez, R. E. & Pacheco, F., 9 Dec 2017, p. 105-110. 6 p.

Research output: Contribution to conferencePaper

Rotating machinery
Failure analysis
Support vector machines
Classifiers
Bearings (structural)
2 Citations (Scopus)

Rolling bearing fault diagnosis based on deep boltzmann machines

Deng, S., Cheng, Z., Li, C., Yao, X., Chen, Z. & Sanchez, R. V., 16 Jan 2017.

Research output: Contribution to conferencePaper

Bearings (structural)
Failure analysis
Rotating machinery
Health
1 Citation (Scopus)

SOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery

Cerrada, M., Pacheco, F., Sanchez, R. V., Cabrera, D., MacAncela, J. & Lucero, P., 7 Jun 2017, p. 28-37. 10 p.

Research output: Contribution to conferencePaper

Rotating Machinery
Rotating machinery
Service-oriented Architecture
Service oriented architecture (SOA)
Fault Diagnosis
4 Citations (Scopus)

Some preliminary results on the comparison of fcm, gk, fcmfp and fn-dbscan for bearing fault diagnosis

Li, C., Cerrada, M., Cabrera, D., Sanchez, R. V., Pacheco, F., Ulutagay, G. & Oliveira, J. V. D., 9 Dec 2017, p. 41-46. 6 p.

Research output: Contribution to conferencePaper

Bearings (structural)
Fault Diagnosis
Clustering algorithms
Failure analysis
Clustering Algorithm
3 Citations (Scopus)

Vibration-based gearbox fault diagnosis using deep neural networks

Chen, Z., Chen, X., Li, C., Sanchez, R. V. & Qin, H., 1 Jan 2017, In : Journal of Vibroengineering. p. 2475-2496 22 p.

Research output: Contribution to journalArticle

Failure analysis
Bearings (structural)
Rotating machinery
Bayesian networks
Gears
2016
33 Citations (Scopus)

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

Pacheco, F., Valente de Oliveira, J., Sánchez, R. V., Cerrada, M., Cabrera, D., Li, C., Zurita, G. & Artés, M., 19 Jun 2016, In : Neurocomputing. p. 192-206 15 p.

Research output: Contribution to journalArticle

Failure analysis
Feature extraction
Learning
Neural networks
Equipment and Supplies
2 Citations (Scopus)

Clustering algorithm using rough set theory for unsupervised feature selection

Pacheco, F., Cerrada, M., Sanchez, R. V., Cabrera, D., Li, C. & De Oliveira, J. V., 31 Oct 2016, p. 3493-3499. 7 p.

Research output: Contribution to conferencePaper

Rough set theory
Rough Set Theory
Clustering algorithms
Feature Selection
Clustering Algorithm
64 Citations (Scopus)

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

Li, C., Cabrera, D., De Oliveira, J. V., Sanchez, R. V., Cerrada, M. & Zurita, G., 1 Aug 2016, In : Mechanical Systems and Signal Processing. p. 157-173 17 p.

Research output: Contribution to journalArticle

Rotating machinery
Computer simulation
82 Citations (Scopus)
Machine vibrations
Rotating Machinery
Vibration Measurement
Rotating machinery
vibration measurement
97 Citations (Scopus)

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

Cerrada, M., Zurita, G., Cabrera, D., Sánchez, R. V., Artés, M. & Li, C., 1 Mar 2016, In : Mechanical Systems and Signal Processing. p. 87-103 17 p.

Research output: Contribution to journalArticle

Spur gears
Failure analysis
Genetic algorithms
Classifiers
Fault detection
17 Citations (Scopus)

Fuzzy determination of informative frequency band for bearing fault detection

Li, C., De Oliveira, J. V., Sanchez, R. V., Cerrada, M., Zurita, G. & Cabrera, D., 30 Apr 2016, In : Journal of Intelligent and Fuzzy Systems. p. 3513-3525 13 p.

Research output: Contribution to journalArticle

Bearings (structural)
Fault Detection
Fault detection
Frequency bands
Selector
136 Citations (Scopus)

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

Li, C., Sanchez, R. V., Zurita, G., Cerrada, M., Cabrera, D. & Vásquez, R. E., 1 Aug 2016, In : Mechanical Systems and Signal Processing. p. 283-293 11 p.

Research output: Contribution to journalArticle

Failure analysis
Fusion reactions
Acoustics
Acoustic emissions
Electric fuses
31 Citations (Scopus)

Hierarchical feature selection based on relative dependency for gear fault diagnosis

Cerrada, M., Sánchez, R. V., Pacheco, F., Cabrera, D., Zurita, G. & Li, C., 1 Apr 2016, In : Applied Intelligence. p. 687-703 17 p.

Research output: Contribution to journalArticle

Failure analysis
Gears
Feature extraction
Hospital beds
Random processes
24 Citations (Scopus)

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

Li, C., Valente De Oliveira, J., Cerrada, M., Pacheco, F., Cabrera, D., Sanchez, V. & Zurita, G., 1 Apr 2016, In : Engineering Applications of Artificial Intelligence. p. 287-301 15 p.

Research output: Contribution to journalArticle

Bearings (structural)
Condition Monitoring
Condition monitoring
Fault Detection
Fault detection