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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328594
