DocumentCode :
1851624
Title :
Research and Application of Bearing Fault Diagnosis Method Based on Resonance Demodulation Technique
Author :
Cao Weiyu ; Gao Lixin ; Zhang Suizheng ; An Guoping
Author_Institution :
Beijing Key Lab. of Adv. Manuf. Technol., Beijing Univ. of Technol., Beijing, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
1843
Lastpage :
1846
Abstract :
The key point to capture the breakdown information is how to improve the signal-to-noise ratio of the vibration signal for the fault diagnosis of bearing. However, the methods of traditional Hilbert demodulation, the traditional generalized filtering demodulation and etc. do not have the ability to improve it. Theoretical analysis and experimental results show that it is difficult to diagnose the bearing fault without any pretreatment and direct spectrum analysis of the vibration signal of fault bearing. Through the principle of resonance demodulation, the resonance demodulation method can obtain higher signal-to-noise ratio. This article is taking the bearing field measured data as the research object. It proves that the demodulated resonance technique can improve the signal-to-noise ratio and extract the fault information more easily. The accuracy of fault diagnosis has been improved greatly as well.
Keywords :
condition monitoring; demodulation; fault diagnosis; feature extraction; filtering theory; machine bearings; mechanical engineering computing; vibrations; bearing fault diagnosis method; bearing field measured data; breakdown information; direct spectrum analysis; fault information extraction; resonance demodulation technique; signal-to-noise ratio; traditional Hilbert demodulation; traditional generalized filtering demodulation; vibration signal; Demodulation; Fault diagnosis; Indexes; Laplace equations; Noise reduction; Resonant frequency; Vibrations; Bearing; Fault Diagnosis; Resonance demodulation; SNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.482
Filename :
6643401
Link To Document :
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