• 1713 Citations
  • 20 h-Index
20132020

Research output per year

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Research Output

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2019

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

3 Scopus citations

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

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

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

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

2018

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

42 Scopus citations
1 Scopus citations

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

10 Scopus citations

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

2 Scopus citations

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

20 Scopus citations

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

3 Scopus citations

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

2017

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

2 Scopus citations

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

2 Scopus citations

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

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

6 Scopus citations

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

6 Scopus citations

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

1 Scopus citations

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

5 Scopus citations
2016

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

2 Scopus citations
2015

Fault Diagnosis for Controlled Continuous Systems from a Hybrid Approach: A Case Study

Cerrada, M., Ortiz, J. & Sánchez, R. V., 1 Oct 2015, p. 302-307. 6 p.

Research output: Contribution to conferencePaper

Statistical parameters extraction of the vibration signals of a gearbox for machine diagnosis

Sarmiento Moscoso, L., Zurita Villarroel, G., Sanchez Loja, V. & Arpi Saldaña, A., 1 Jan 2015.

Research output: Contribution to conferencePaper