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Fingerprint Dive into the research topics where Jean Carlo Macancela Poveda is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Rotating machinery Engineering & Materials Science
Failure analysis Engineering & Materials Science
Glossaries Engineering & Materials Science
Vibration Signal Mathematics
Fault detection Engineering & Materials Science
Rotating Machinery Mathematics
Gearbox Mathematics
Support vector machines Engineering & Materials Science

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Projects 2016 2016

Research Output 2017 2018

  • 12 Citations
  • 3 h-Index
  • 5 Paper
4 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
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 conferencePaperResearch

Gearbox
Vibration Signal
Fault Detection
Glossaries
Fault detection
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 conferencePaperResearch

Failure analysis
Support vector machines

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 conferencePaperResearch

Glossaries
Fault detection
Rotating machinery
Analysis of variance (ANOVA)
4 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 conferencePaperResearch

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