Fuzzy Information Granulation and Improved RVM for Rolling Bearing Life Prediction

Authors

Xiaoman Hu, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Wang Yan, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Zhicheng Ji, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;

Abstract

Abstract: Aiming at the low accuracy in life prediction and unpredictable problems of degenerative performance trends and fluctuation ranges, etc. Of the bearing life prediction, an improved complete ensemble empirical mode decomposition with adaptive noise analysis and fuzzy information granulating method of improved relevance vector machine is proposed. Focusing on bearing data containing a lot of noise, through the improved complete ensemble empirical mode decomposition with adaptive noise analysis in combination with wavelet packet denoising, the principal component analysis is carride out by exitracing a variety of characeteristics of the signal, the effective information is extracted by granulating the fuzzy information, by entering the improved particle swarm algorithm to optimize the relevance vector machine model of the degradation index range and remaining life is predicted. The results show that the method can effectively predict the fluctuation range, and the residual life prediction accuracy is improved greatly.

Recommended Citation

Hu, Xiaoman; Yan, Wang; and Ji, Zhicheng (2021) "Fuzzy Information Granulation and Improved RVM for Rolling Bearing Life Prediction," Journal of System Simulation: Vol. 33: Iss. 11, Article 4.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0703
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss11/4

First Page

2561

Revised Date

2021-07-17

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0703

Last Page

2571

CLC

TP391.9

Recommended Citation

Hu Xiaoman, Wang Yan, Ji Zhicheng. Fuzzy Information Granulation and Improved RVM for Rolling Bearing Life Prediction[J]. Journal of System Simulation, 2021, 33(11): 2561-2571.

Corresponding Author

Wang Yan,

DOI

10.16182/j.issn1004731x.joss.21-FZ0703