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 :
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