Jul 24, 2019 · Benkedjouh T, Medjaher K, Zerhouni N, et al. (2013) Remaining useful life estimation based on nonlinear feature reduction and support vector ...
prediction method based on manifold learning and fuzzy support vector regression (SVR) is proposed. Firstly, the multiple features are extracted from time.
Finally, the fuzzy SVR is used to predict the life degradation trend of slewing bearing. The results show that: (1) Multi-feature fusion after ISOMAP can obtain ...
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Life prediction of slewing bearing based on isometric mapping and fuzzy support vector regression. The monitoring data of slewing bearing is massive.
Bibliographic details on Life prediction of slewing bearing based on isometric mapping and fuzzy support vector regression.
In conclusion, this paper proposed a kind of residual life prediction model of slewing bearing, based on SVR method and multiple physical signals, shown in Fig.
In this paper, a residual life reliability prediction approach for slewing bearings was firstly presented based on the Weibull distribution. Afterwards, a novel ...
Life prediction of slewing bearing based on isometric mapping and fuzzy support vector regression · Bao. ,. Wang. ,. Chen. et al. 2019. Transactions of the ...
Life prediction of slewing bearing based on isometric mapping and fuzzy support vector regression. Transactions of the Institute of Measurement and Control.