DocumentCode
135452
Title
Gabor and the Wigner-Ville transforms for broken rotor bars detection in induction motors
Author
Martinez-Herrera, Ana L. ; Ledesma-Carrillo, Luis M. ; Lopez-Ramirez, Misael ; Salazar-Colores, Sebastian ; Cabal-Yepez, Eduardo ; Garcia-Perez, A.
Author_Institution
Div. de Ingenierias, Univ. de Guanajuato, Yuriria, Mexico
fYear
2014
fDate
26-28 Feb. 2014
Firstpage
83
Lastpage
87
Abstract
Induction Motors are subjected to unavoidable stresses that create failures in their different parts and result in substantial cost penalties. An effective incipient fault detection technique can reduce the maintenance expenses by preventing high cost failures and unscheduled downtimes. Broken rotor bars (BRB) is the most common rotor-related failure, and the startup transient is suitable for their detection. Therefore, several time-frequency representations have been proposed for this aim. This paper presents a performance comparison between the Gabor transform and the Wigner-Ville with a Choi-Williams kernel (WVD-CW) transform for broken rotor bar detection in induction motors. Preliminary results show that WVD-CW has better time-frequency resolution than the Gabor transform ensuring the BRB fault detection with high certainty.
Keywords
Wigner distribution; fault diagnosis; induction motors; rotors; time-frequency analysis; transforms; BRB; Choi-Williams kernel; Gabor transforms; WVD-CW; Wigner-Ville transforms; broken rotor bar detection; cost penalties; incipient fault detection; induction motors; startup transient; time-frequency representations; time-frequency resolution; Induction motors; Kernel; Rotors; Signal resolution; Time-frequency analysis; Transforms; Transient analysis; Gabor transform; Wigner-Ville; broken rotor bar; induction motors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Computers (CONIELECOMP), 2014 International Conference on
Conference_Location
Cholula
Print_ISBN
978-1-4799-3468-3
Type
conf
DOI
10.1109/CONIELECOMP.2014.6808572
Filename
6808572
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