DocumentCode :
157360
Title :
Broken rotor bar detection in VSD-fed induction motors at startup by high-resolution spectral analysis
Author :
Romero-Troncoso, R.J. ; Morinigo-Sotelo, Daniel ; Duque-Perez, O. ; Osornio-Rios, R.A. ; Ibarra-Manzano, M.A. ; Garcia-Perez, A.
Author_Institution :
DICIS, Univ. of Guanajuato, Salamanca, Mexico
fYear :
2014
fDate :
2-5 Sept. 2014
Firstpage :
1848
Lastpage :
1854
Abstract :
The fault detection in an induction motor (IM) operated by a variable speed drive (VSD) is an actual industrial need as most of the line-fed machines are replaced by a VSD, due to their improved speed regulation and fast dynamic response. However, undesired harmonics are always present when the IM is fed through a VSD. Under this operating condition, most developed techniques are unable to detect faults in the IM. This paper presents a technique based on the multiple signal classification (MUSIC) method, and it is applied to a VSD-fed IM during the startup transient; in order to verify the capability of the method to identify one broken rotor bar. From the experimental results, the proposed method is proven to be sensitive enough to detect one broken rotor bar, enabling a reliable diagnosis under different fundamental supply frequencies and load conditions.
Keywords :
induction motor drives; signal classification; variable speed drives; VSD; VSD-fed induction motors; broken rotor bar detection; fast dynamic response; high-resolution spectral analysis; line-fed machines; multiple signal classification method; speed regulation; variable speed drive; Harmonic analysis; Induction motors; Multiple signal classification; Noise; Rotors; Time-frequency analysis; Transient analysis; Condition monitoring; Fault diagnosis; Induction motors; Multiple signal classification; Spectral analysis; Variable speed drives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines (ICEM), 2014 International Conference on
Conference_Location :
Berlin
Type :
conf
DOI :
10.1109/ICELMACH.2014.6960435
Filename :
6960435
Link To Document :
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