SVM Prediction of Performance Degradation of Rolling Bearings with Fusion of KPCA and Information Granulation

Authors

Jiya Xu, 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;
Dahu 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: To effectively predict the performance degradation index and its fluctuation ranges of the rolling bearing, a prediction method based on kernel principal component analysis algorithm and fuzzy information granulation using support vector machine is proposed. The kernel principal component analysis is utilized to preprocess the data to acquire the main feature vector, construct T² and SPE statistics, and to analyze its trend. The statistical information is used as the performance degradation index. Theory of fuzzy information granulation is used to granulate the performance degradation index and extract the useful information. The granulated data are put to the support vector machine for regression prediction. The experiment results show the prediction method can track the change tendency of the performance degradation index of rolling bearing and the fluctuation range of its index effectively.

Recommended Citation

Xu, Jiya; Yan, Wang; Yan, Dahu; and Ji, Zhicheng (2018) "SVM Prediction of Performance Degradation of Rolling Bearings with Fusion of KPCA and Information Granulation," Journal of System Simulation: Vol. 30: Iss. 6, Article 43.
DOI: 10.16182/j.issn1004731x.joss.201806043
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/43

First Page

2345

Revised Date

2017-08-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201806043

Last Page

2354

CLC

TP391.9

Recommended Citation

Xu Jiya, Wang Yan, Yan Dahu, Ji Zhicheng. SVM Prediction of Performance Degradation of Rolling Bearings with Fusion of KPCA and Information Granulation[J]. Journal of System Simulation, 2018, 30(6): 2345-2354.

DOI

10.16182/j.issn1004731x.joss.201806043