Title :
ICA and wavelet packet decomposition approaches for monitoring the incipient bearing damage in electrical motors
Author :
Senguler, T. ; Karatoprak, E. ; Seker, S. ; Caglar, R.
Author_Institution :
Electr. Eng. Dept., Istanbul Tech. Univ., Istanbul
Abstract :
Contemporary engineering approach shows a trend in which the predictive maintenance i.e., online monitoring and early detection of the failures take the place of the periodic maintenance. This study focused on capturing an aging trend of the bearing of a 5-HP induction motor. Independent Components Analysis (ICA) based on the wavelet package analysis has been used to foreseen the bearing damage for predictive maintenance information.
Keywords :
independent component analysis; induction motors; machine bearings; maintenance engineering; wavelet transforms; electrical motors; incipient bearing damage; independent components analysis; induction motor; predictive maintenance; wavelet package analysis; wavelet packet decomposition; Aging; Condition monitoring; Continuous wavelet transforms; Independent component analysis; Induction motors; Predictive maintenance; Telephony; Wavelet analysis; Wavelet packets; Wavelet transforms; ICA; Wavelet Packet Decomposition (WPD); bearing damage; predictive maintenance;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670482
