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Condition monitoring strategy based on spectral energy estimation and linear discriminant analysis applied to electric machines

Author
Ramirez, M.; Saucedo, J.; Romero, R.; Osornio, R.; Morales, L.; Delgado Prieto, M.
Type of activity
Presentation of work at congresses
Name of edition
2018: XX IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING
Date of publication
2018
Presentation's date
2018-11-16
Book of congress proceedings
ROPEC 2018: XX IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING
Repository
http://hdl.handle.net/2117/127201 Open in new window
https://easychair.org/smart-program/ROPEC2018/2018-11-16.html#talk:85169 Open in new window
Abstract
Condition-based maintenance plays an important role to ensure the working condition and to increase the availability of the machinery. The feature calculation and feature extraction are critical signal processing that allow to obtain a high-performance characterization of the available physical magnitudes related to specific working conditions of machines. Aiming to overcome this issue, this research proposes a novel condition monitoring strategy based on the spectral energy estimation and Linea...
Citation
Ramirez, M., Saucedo, J., Romero, R., Osornio, R., Morales, L., Delgado Prieto, M. Condition monitoring strategy based on spectral energy estimation and linear discriminant analysis applied to electric machines. A: IEEE International Autumn Meeting on Power, Electronics and Computing. "ROPEC 2018: XX IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING". 2018.
Group of research
MCIA - Motion Control and Industrial Applications Research Group

Participants

  • Ramirez Chavez, Mayra  (author and speaker )
  • Saucedo Dorantes, Juan Jose  (author and speaker )
  • Romero Troncoso, René  (author and speaker )
  • Osornio Rios, Roque A.  (author and speaker )
  • Morales Velazquez, Luis  (author and speaker )
  • Delgado Prieto, Miquel  (author and speaker )

Attachments