DocumentCode :
481938
Title :
Diagnosis of mechanical faults by spectral kurtosis energy
Author :
Bellini, Alberto ; Cocconcelli, Marco ; Immovilli, Fabio ; Rubini, Riccardo
Author_Institution :
DISMI, Univ. of Modena & Reggio Emilia, Modena
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
3079
Lastpage :
3083
Abstract :
Generalized roughness is the most common damage occurring to roller bearing. It produces a frequency spreading of the characteristics fault frequencies, thus being difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is here proposed in order to identify the spreading bandwidth related to a specific conditions, relying on current measurements only. Then a diagnostic index based on the computation of the energy in the above defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. Subsequently it has been applied to stator currents monitoring.
Keywords :
condition monitoring; electric current measurement; fault diagnosis; induction motors; rolling bearings; spectral analysis; statistical analysis; vibrations; current measurements; envelope analysis; frequency spreading; generalized roughness; induction machines; mechanical fault diagnosis; roller bearing; spectral kurtosis energy; statistical analysis; stator current monitoring; vibration signals; Bandwidth; Current measurement; Envelope detectors; Fault detection; Fault diagnosis; Frequency; Rolling bearings; Spectral analysis; Statistical analysis; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4758452
Filename :
4758452
Link To Document :
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