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

Volume

3

fYear

2008

fDate

6-8 Sept. 2008

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IS.2008.4670482

Filename

4670482