DocumentCode
1089095
Title
Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals
Author
Immovilli, Fabio ; Cocconcelli, Marco ; Bellini, Alberto ; Rubini, Riccardo
Author_Institution
Dipt. di Sci. e Metodi dellTngegneria, Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy
Volume
56
Issue
11
fYear
2009
Firstpage
4710
Lastpage
4717
Abstract
Generalized roughness is the most common damage occurring to rolling bearings. It produces a frequency spreading of the characteristic fault frequencies, thus making it difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is proposed here in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then, a diagnostic index based on the computation of the energy in the previously defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals.
Keywords
fault diagnosis; maintenance engineering; rolling bearings; statistical analysis; surface roughness; vibrations; characteristic fault frequency spreading; current signal; diagnostic index; generalized-roughness bearing fault detection; rolling bearing; spreading bandwidth; statistical analysis; vibration spectral-kurtosis energy; Bearings; diagnostic reasoning; fault detection; rotating-machine mechanical factors; rough surface; signal processing; spectral analysis; wear;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2009.2025288
Filename
5089424
Link To Document