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Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction

Author
Saucedo, J.; Delgado Prieto, M.; Osornio, R.; Romero-Troncoso, R.
Type of activity
Journal article
Journal
Proceedings of the Institution of Mechanical Engineers. Part C, journal of mechanical engineering science
Date of publication
2017-01-01
First page
1
Last page
18
DOI
https://doi.org/10.1177/0954406217721727 Open in new window
Repository
http://hdl.handle.net/2117/118054 Open in new window
URL
http://journals.sagepub.com/doi/abs/10.1177/0954406217721727 Open in new window
Abstract
Strategies for condition monitoring are relevant to improve the operation safety and to ensure the efficiency of all the equipment used in industrial applications. The feature selection and feature extraction are suitable processing stages considered in many condition monitoring schemes to obtain high performance. Aiming to address this issue, this work proposes a new diagnosis methodology based on a multi-stage feature reduction approach for identifying different levels of uniform wear in a gea...
Citation
Saucedo, J., Delgado Prieto, M., Osornio, R., Romero-Troncoso, R. Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction. "Proceedings of the Institution of Mechanical Engineers. Part C, journal of mechanical engineering science", 1 Gener 2017, p. 1-18.
Keywords
Condition monitoring, Fault Diagnosis, Feature Reduction, Gearbox, Vibrations
Group of research
MCIA - Motion Control and Industrial Applications Research Group

Participants

  • Saucedo Dorantes, Juan Jose  (author)
  • Delgado Prieto, Miquel  (author)
  • Osornio Rios, Roque A.  (author)
  • Romero Troncoso, René de Jesús  (author)