DocumentCode
1884403
Title
Wavelet and PSD as a Fault Detection Techniques
Author
Cusido, J. ; Jornet, A. ; Romeral, L. ; Ortega, J.A. ; Garcia, A.
Author_Institution
Dept. d´´Enginyeria Electrica, Univ. Politecnica de Catalunya
fYear
2006
fDate
24-27 April 2006
Firstpage
1397
Lastpage
1400
Abstract
Motor current signature analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of wavelet and power spectral density techniques. It presents good theoretical and experimental results
Keywords
fault diagnosis; induction motors; machine testing; spectral analysis; wavelet transforms; PSD techniques; fault detection techniques; induction machines; motor current signature analysis; power spectral density techniques; signal processing method; wavelet transforms; Bars; Electrical fault detection; Fault detection; Frequency; Induction machines; Induction motors; Rotors; Signal analysis; Signal processing algorithms; Torque; Electrical drives; Fault detection; Induction motor;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location
Sorrento
ISSN
1091-5281
Print_ISBN
0-7803-9359-7
Electronic_ISBN
1091-5281
Type
conf
DOI
10.1109/IMTC.2006.328594
Filename
4124572
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