Vibration Performance Prediction and Reliability Analysis for Bearings

Authors

Xintao Xia, Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China;
Chang Zhen, Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China;
Yunfei Li, Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China;

Abstract

Abstract: The bearing vibration signal contains a large amount of information involved in degradation of spindle system. The adding-weight one-rank local-region method is used to predict the vibration time series for bearing, and the forecasting error can be obtained by comparing and analyzing the prediction values with the actual values so as to verify the feasibility of the model. The prediction results of the future state for the bearing are processed by grey bootstrap method, and the vibration thresholds are given by the requirements of the spindle system on the bearing vibration performance. The performance reliability prediction of the bearing is realized by the Poisson process. Investigation shows that the prediction results of forecasting model are true and reliable for vibration performance with the maximum relative error only 13.92%; reliability curves can describe the performance degradation process of bearings accurately. The proposed model can be used for health monitoring and forecasting of bearings performance, and can detect hidden dangers in time.

Recommended Citation

Xia, Xintao; Zhen, Chang; and Li, Yunfei (2019) "Vibration Performance Prediction and Reliability Analysis for Bearings," Journal of System Simulation: Vol. 30: Iss. 4, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201804022
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/22

First Page

1390

Revised Date

2017-07-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804022

Last Page

1399

CLC

TH133;TB114

Recommended Citation

Xia Xintao, Chang Zhen, Li Yunfei. Vibration Performance Prediction and Reliability Analysis for Bearings[J]. Journal of System Simulation, 2018, 30(4): 1390-1399.

DOI

10.16182/j.issn1004731x.joss.201804022