DocumentCode :
1563755
Title :
On-Line System for Fault Detection in Induction Machines based on Wavelet Convolution
Author :
Cusidó, J. ; Rosero, J.A. ; Cusidó, M. ; Garcia, A. ; Ortega, J.A. ; Romeral, L. ; Author, Q.
Author_Institution :
Univ. Polytech. de Catalunya, Terrassa
fYear :
2007
Firstpage :
927
Lastpage :
932
Abstract :
Motor current signature analysis has been successfully used in induction machines for fault diagnosis. The method, however, does not always achieve good results when the load torque is not constant. For proper results, temporal analysis on certain frequency harmonics is needed. This paper proposes an automatic system for fault analysis based on wavelet functions, which allows on-line fault detection in the time domain, achieving good experimental results both on stationary and non-stationary states.
Keywords :
convolution; fault diagnosis; induction motors; time-domain analysis; wavelet transforms; fault detection; fault diagnosis; frequency harmonics; induction machines; motor current signature analysis; on-line system; temporal analysis; wavelet convolution; wavelet functions; Convolution; Fault detection; Fault diagnosis; Frequency; Harmonic analysis; Induction machines; Induction motors; Torque; Wavelet analysis; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
Conference_Location :
Orlando, FL
ISSN :
0275-9306
Print_ISBN :
978-1-4244-0654-8
Electronic_ISBN :
0275-9306
Type :
conf
DOI :
10.1109/PESC.2007.4342112
Filename :
4342112
Link To Document :
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