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A novel broken rotor bar fault detection method using park’s transform and wavelet decomposition

Author
Salehi Arashloo, R.; Romeral, L.; Salehifar, M.
Type of activity
Presentation of work at congresses
Name of edition
9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives
Date of publication
2013
Presentation's date
2013-08-29
Book of congress proceedings
USB Proceedings 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2013)
First page
650
Last page
657
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Repository
http://hdl.handle.net/2117/20498 Open in new window
URL
http://ieeexplore.ieee.org/Xplore/home.jsp Open in new window
Abstract
Detection of broken rotor bars has been an important but difficult work in fault diagnosis area of induction motors. The characteristic frequency components of faulted rotor are very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. In the present study, a new method is proposed in order to remove the main frequency component, resulting in more efficient detection of the rotor fault characteristics in the frequency sp...
Citation
Salehi Arashloo, R.; Romeral, J.; Salehifar, M. A novel broken rotor bar fault detection method using park’s transform and wavelet decomposition. A: IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives. "USB Proceedings 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2013)". Valencia: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 650-657.
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

Participants

  • Salehi Arashloo, Ramin  (author and speaker )
  • Romeral Martinez, Jose Luis  (author and speaker )
  • Salehifar, Mehdi  (author and speaker )