DocumentCode :
2635504
Title :
Detection of bearing fault using hybrid digital filter
Author :
Shao, Yimin ; HU, Yumei ; WANG, Shemin ; Zhou, Xiaojun
Author_Institution :
Chongqing Univ., Chongqing
fYear :
2007
fDate :
17-20 Sept. 2007
Firstpage :
12
Lastpage :
15
Abstract :
The signal-to-noise (S/N) ratio is lower and the impulse signal of bearing is difficult to extract when the bearing is operating under heavy environmental conditions. For this reason, a new method is proposed for improving the signal to noise ratio from measurements of bearing vibration by the hybrid digital filter (HDF). Experimental result has shown that these techniques can be made more effective only after HDF has reduced the background noise from the diagnostic signals.
Keywords :
digital filters; fault location; machine bearings; vibrations; bearing fault detection; bearing impulse signal; bearing vibration; hybrid digital filter; signal-to-noise ratio; Cloning; Digital filters; Fault detection; Noise cancellation; Noise measurement; Nonlinear filters; Signal to noise ratio; Vectors; Vibration measurement; Working environment noise; Bearing Fault; Detection; Hybrid Digital Filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
Type :
conf
DOI :
10.1109/SICE.2007.4420941
Filename :
4420941
Link To Document :
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