The Method of Degradation Feature Extraction of Rolling Bearing Based on MEMD and Multivariate Multiscale Entropy
[1]Li Lingjun,Jin Bingma,Yanli Han,et al.The Method of Degradation Feature Extraction of Rolling Bearing Based on MEMD and Multivariate Multiscale Entropy[J].Journal of Zhengzhou University (Engineering Science),2018,39(04):86-91.[doi:1013705/j.issn.1671-6833.2018.01.004]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39卷
Number of periods:
2018 04
Page number:
86-91
Column:
Public date:
2018-07-22
- Title:
- The Method of Degradation Feature Extraction of Rolling Bearing Based on MEMD and Multivariate Multiscale Entropy
- Keywords:
- Multidimensional Empirical Mode Decomposition; Multivariate Multiscale Entropy; Multiscale; Rolling Bearing; Degradation Trend
- CLC:
- -
- DOI:
- 1013705/j.issn.1671-6833.2018.01.004
- Abstract:
- The method of extracting degradation features was proposed based on MEMD and MMSE to solve the problem that non-stationarity of fault signals of roller bearing and degradation condition, which was characteristic of non-ststionarity and hard to recognize. The character of MEMD was adopted to catch different scales of signals effectively during the process of multiscalization, which made complexity of different degradation condition distinguished better than other methods. Firstly, multichannel signals corresponding to various degradation condition of roller bearing were decomposed adaptively using MEMD, then, the reconstructed signals by multiscale IMF was dealt with MSE analysis. The results showed that the proposed method could efficiently evaluate the degradation trend of roller bearing by handing the experimental signals.
- References:
- -
- Similar References:
Memo
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Last Update:
2018-07-26