𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Research on bearing life prediction based on support vector machine and its application

✍ Scribed by Sun, Chuang; Zhang, Zhousuo; He, Zhengjia


Book ID
121418878
Publisher
Institute of Physics
Year
2011
Tongue
English
Weight
492 KB
Volume
305
Category
Article
ISSN
1742-6588

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Remaining life prognostics of rolling be
✍ Chen, X.; Shen, Z.; He, Z.; Sun, C.; Liu, Z. πŸ“‚ Article πŸ“… 2013 πŸ› SAGE Publications 🌐 English βš– 847 KB

Life prognostics are an important way to reduce production loss, save maintenance cost and avoid fatal machine breakdowns. Predicting the remaining life of rolling bearing with small samples is a challenge due to lack of enough condition monitoring data. This study proposes a novel prognostics model

Nonlinear structural response prediction
✍ Dong Yinfeng; Li Yingmin; Lai Ming; Xiao Mingkui πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 614 KB

A support vector machines (SVM)-based two-stage method is proposed to simulate and predict the nonlinear dynamic response of structures. In the first stage, an autoregressive moving average with exogenous input (ARMAX) model is used to represent the acceleration response as the output of a single-in