Fault detection of an internal combustion engine through vibration analysis by wavelets transform

Gina P. Novillo, Néstor Diego Rivera Campoverde, Héctor Adrian Auquilla Veintimilla, César Daniel Beltrán Orellana

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)929-936
Number of pages8
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume10
Issue number3
DOIs
StatePublished - 2020

Bibliographical note

Funding Information:
The authors express gratitude to Engineer Nestor Rivera for all his unconditional support and contributing his knowledge to the realization of this paper. Also, the authors are thankful to the investigation group "Grupo de Investigaci?n en Ingenieria de Transporte", GIIT, of the Universidad Polit?cnica Salesiana for all support during this investigation.

Publisher Copyright:
© 2020, Insight Society.

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

Keywords

  • Fault detection
  • FFT
  • Internal combustion engine
  • Spectrogram
  • Wavelets transform

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