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Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems

Author
Arellano, F.; González, A.D.; Delgado Prieto, M.; Saucedo, J.; Osornio, R.
Type of activity
Presentation of work at congresses
Name of edition
25th IEEE International Conference on Emerging Technologies and Factory Automation
Date of publication
2020
Presentation's date
2020-09-08
Book of congress proceedings
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): Proceedings: Vienna, Austria - Hybrid: 08-11 September, 2020
First page
1419
Last page
1422
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/ETFA46521.2020.9212026
Repository
http://hdl.handle.net/2117/330308 Open in new window
URL
https://ieeexplore.ieee.org/abstract/document/9212026 Open in new window
Abstract
In the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets allows the investigation towards multiple monitoring strategies capable of emphasize deviations over the nominal system operation. However, the most prominent techniques, such as Machine Learning, present great challenges in complex systems. In this regard, the proposed study prese...
Citation
Arellano, F. [et al.]. Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems. A: IEEE International Conference on Emerging Technologies and Factory Automation. "2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): Proceedings: Vienna, Austria - Hybrid: 08-11 September, 2020". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1419-1422. ISBN 978-1-7281-8957-4. DOI 10.1109/ETFA46521.2020.9212026.
Keywords
Condition monitoring, Deep learning, Fault detection, Machine learning
Group of research
MCIA - Motion Control and Industrial Applications Research Group

Participants

  • Arellano Espitia, Francisco  (author and speaker )
  • González Abreu, Artvin Darién  (author and speaker )
  • Delgado Prieto, Miquel  (author and speaker )
  • Saucedo Dorantes, Juan Jose  (author and speaker )
  • Osornio Rios, Roque A.  (author and speaker )