Fault Diagnosis System of Rolling Bearing Based on Wavelet Analysis

Li Na Wang; Hong Bo Wang; Yong Hui Cai; Shi Long Wang

doi:10.4028/www.scientific.net/AMM.166-169.951

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 166-169Fault Diagnosis System of Rolling Bearing Based on...

Fault Diagnosis System of Rolling Bearing Based on Wavelet Analysis

Abstract:

According to the characteristics of fault vibration of rolling bearing (non-stationary signals), a method of fault diagnosis based on wavelet analysis is put forward. In the method, the signals included faulty information of rolling bearing are decomposed and reconstructed by Matlab software, and by zoom frequency spectrum analysis, the fault information composition of the rolling bearings can be extracted effectively to determine the faulty type of the rolling bearings. Based on the above, an applicable fault diagnosis system for rolling bearing with surface damage in friction pair was developed. It has been proven by practice that the diagnosis method of system is surefire and its results are stable and reliable. Through being improved and expanded，the system can be applied to collect and analyze other vibration signals.

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Periodical:

Applied Mechanics and Materials (Volumes 166-169)

Pages:

951-955

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.166-169.951

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Online since:

May 2012

Authors:

Li Na Wang, Hong Bo Wang, Yong Hui Cai, Shi Long Wang

Keywords:

Condition Monitoring, Fault Diagnosis, Feature Information, Rolling Bearing, Wavelet Analysis

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References

[1] Bicheng Li,Jianshu Luo. Wavelet Analysis and Its Application[M]. Beijing: Electronics Industry Press, 2003. (in Chinese)

Google Scholar

[2] Cheng Gao. Matlab Wavelet Analysis and Application [M]. Beijing: National Defence Industry Press, 2007. (in Chinese)

Google Scholar

[3] David Bile.Modelling of the Spalled Rolling Element Bearing Vibration Signal:An Overview and Some New Results[J]. Mechanical Systems and Signal Processing, 2000,14(3):353-369.

DOI: 10.1006/mssp.1999.1237

Google Scholar

[4] Lei Han,Li Cheng,Xuewei Miao. Bearing Fault Diagnosis for Aero-Engine Based on Wavelet Analysis[J]. Bearing, 2008, (10) 30－31. (in Chinese)

Google Scholar

[5] Jiadong Fan, Li Cheng, Lei Han etc.. Analysis on Rolling Bearing Fault Diagnosis Based on Wavelet Transform[J]. Fault Diagnosis, 2008,24(11):183. (in Chinese)

Google Scholar

[6] Qusheng Liang,Zhengjia He. Mechanical Fault Diagnostics[M]. Shanghai: Shanghai Science and Technology Press, 1986. (in Chinese)

Google Scholar