DocumentCode
2908415
Title
On-Line System for Fault Detection in Induction Machines Based on Wavelet Convolution
Author
Cusido, J. ; Rosero, J.A. ; Cusido, M. ; Garcia, A. ; Ortega, J.A. ; Romeral, L.
Author_Institution
Univ. Politecnica de Catalunya, Terrassa
fYear
2007
fDate
1-3 May 2007
Firstpage
1
Lastpage
5
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 determined frequency harmonics is needed. This paper proposes an automatic system for fault analysis based on wavelet functions, which allows on-line fault detection on time domain achieving good experimental results on stationary and non stationary state.
Keywords
asynchronous machines; fault diagnosis; wavelet transforms; automatic system; fault diagnosis; frequency harmonics; induction machines; load torque; motor current signature analysis; online fault detection; online system; temporal analysis; wavelet convolution; Convolution; Fault detection; Fault diagnosis; Frequency; Harmonic analysis; Induction machines; Induction motors; Torque; Wavelet analysis; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location
Warsaw
ISSN
1091-5281
Print_ISBN
1-4244-0588-2
Type
conf
DOI
10.1109/IMTC.2007.379106
Filename
4258075
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