• 701 Citations
  • 16 h-Index
20132018
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
Failure analysis Engineering & Materials Science
Bearings (structural) Engineering & Materials Science
Rotating machinery Engineering & Materials Science
Classifiers Engineering & Materials Science
Glossaries Engineering & Materials Science
Fault detection Engineering & Materials Science
Analysis of variance (ANOVA) Engineering & Materials Science
Feature extraction Engineering & Materials Science

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Projects 2015 2017

Research Output 2013 2018

  • 701 Citations
  • 16 h-Index
  • 27 Article
  • 10 Paper
  • 1 Editorial

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. p. 346-352 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Acoustic emissions
Pitting
Vibrations (mechanical)
Gears
Classifiers

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. p. 363-382 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Continuous Optimization
Memetic Algorithm
Genomics
Genetic algorithms
Genetic Algorithm
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 conferencePaperResearch

Bearings (structural)
Cluster Validity
Analysis of variance (ANOVA)
Fault Diagnosis
Failure analysis
3 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 conferencePaperResearch

Rotating Machinery
Rotating machinery
Random Forest
Fault Diagnosis
Failure analysis
1 Citation (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 conferencePaperResearch

Gearbox
Vibration Signal
Fault Detection
Glossaries
Fault detection