Resarch on Fault Diagnosis Method of Bearing Based on Complementary Ensemble Local Mean Decomposition
[1]Ren Zihui,Qu Hu,Wang Cui,et al.Resarch on Fault Diagnosis Method of Bearing Based on Complementary Ensemble Local Mean Decomposition[J].Journal of Zhengzhou University (Engineering Science),2018,39(03):62-66.[doi:10.13705/j.issn.1671-6833.2017.06.028]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39卷
Number of periods:
2018 03
Page number:
62-66
Column:
Public date:
2018-05-10
- Title:
- Resarch on Fault Diagnosis Method of Bearing Based on Complementary Ensemble Local Mean Decomposition
- Keywords:
- CELMD; characteristic frequency; FFT transform; vibration signal; roller bearing
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2017.06.028
- Abstract:
- To solve the problem that local mean decomposition (LMD) method was not insufficient in process the non stationary and non Gaussian signal, a fault diagnosis method based on the complementary ensemble local mean decomposition (CELMD) and spectrum analysis was proposed. Firstly, in this method,the white noises were added in pairs into a target signal, and then the noisy signal was decomposed into a series of production function by using LMD method.The PF component containing main fault information was selected, which was transformed by fast Fourier transform(FFT), to realize the identifications of the working status and fault types. Through the analysis of the simulation signals and the vibration signal of the bearing, it was proved that the method could eliminate the residual white noise and restrain the mode mixing, and improve the accuracy of the fault diagnosis as well.
- References:
- -
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Last Update:
2018-05-03