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Thermography-based methodology for multifault diagnosis on kinematic chain

Author
Delgado Prieto, M.; Cariño, J. A.; Saucedo, J.; Romero-Troncoso, R.; Osornio, R.
Type of activity
Journal article
Journal
IEEE transactions on industrial informatics
Date of publication
2018-12-01
Volume
14
Number
12
First page
5553
Last page
5562
DOI
https://doi.org/10.1109/TII.2018.2816925 Open in new window
Repository
http://hdl.handle.net/2117/127823 Open in new window
URL
https://ieeexplore.ieee.org/document/8319454 Open in new window
Abstract
The procedures for condition monitoring of electromechanical systems are undergoing a reformulation, mainly, due to the current thermographic affordability of infrared cameras to be incorporated in industrial applications. However, high-performing multifault data-driven methodologies must be investigated in order to infer reliable condition information from the thermal distribution of not only electrical motors but also of shafts and couplings. To address this issue, a novel thermography-based m...
Citation
Delgado Prieto, M. [et al.]. Thermography-based methodology for multifault diagnosis on kinematic chain. "IEEE transactions on industrial informatics", 1 Desembre 2018, vol. 14, núm. 12, p. 5553-5562.
Keywords
Condition monitoring, fault diagnosis, industry applications, infrared imaging, rotating machines, self-organizing feature maps
Group of research
MCIA - Motion Control and Industrial Applications Research Group

Participants

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

Attachments