DocumentCode
2583329
Title
Fault detection in induction machines by using continuous and discrete wavelet decomposition
Author
Cusido, L.R. ; Garcia, Alvaro ; Rosero, Javier A. ; Ortega, J.A.
Author_Institution
Univ. Polytech. de Catalunya, Terrassa
fYear
2007
fDate
2-5 Sept. 2007
Firstpage
1
Lastpage
8
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. This paper proposes a new approach to motor fault detection, by wavelet decomposition analysis. Theoretical development and experimental results are presented to support the research.
Keywords
asynchronous machines; discrete wavelet transforms; fault diagnosis; continuous wavelet decomposition; discrete wavelet decomposition; induction machine fault detection; motor current signature analysis; Circuit faults; Continuous wavelet transforms; Discrete wavelet transforms; Fault detection; Fault diagnosis; Frequency; Induction machines; Induction motors; Signal analysis; Torque; Diagnostics; Fault handling strategy; Induction motor; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Applications, 2007 European Conference on
Conference_Location
Aalborg
Print_ISBN
978-92-75815-10-8
Electronic_ISBN
978-92-75815-10-8
Type
conf
DOI
10.1109/EPE.2007.4417512
Filename
4417512
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