Evaluation of time and frequency condition indicators from vibration signals for crack detection in railway axles

Réne Vinicio Sánchez, Pablo Lucero, Jean Carlo Macancela, Higinio Rubio Alonso, Mariela Cerrada, Diego Cabrera, Cristina Castejón

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number4367
JournalApplied Sciences (Switzerland)
Volume10
Issue number12
DOIs
StatePublished - 1 Jun 2020

Bibliographical note

Funding Information:
This research received no external funding, the APC was funded by Universidad Polit?cnica Salesiana through the research group GIDTEC. Authors would like to thank the support provided by the Spanish Government, through the MAQ-STATUS DPI2015-69325-C2-1-R project, and Universidad Polit?cnica Salesiana through the research group GIDTEC.

Publisher Copyright:
© 2020 by the authors.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Condition monitoring
  • Crack detection
  • Feature extraction
  • Feature selection
  • Frequency-domain features
  • Railway axles
  • Random forest classifier
  • Time-domain features

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