Fan fault forecasting based on wavelet analysis and support vector machine

被引：0
|
作者：
Huang Wei [1 ]
Huang Daming [1 ]
Yao Qihong [1 ]
Liu Huining [1 ]
Wang Yarixue [1 ]
机构：
[1] Guangxi Univ, Dept Mech Engn, Nanning 530004, Peoples R China
来源：
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年
关键词：
wavelet analysis; support vector machine; fan; fault; forecasting;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper introduced a method of fan fault forecasting(1) based on wavelet analysis and support vector machine for fans which are widely-used in enterprises. By wavelet decomposing, original time series is decomposed into many series according to scale. By build model and forecasting for every series and composing the results, we get the final forecasting of the original time series. Finally, we apply this method for blowers of a aluminum plant.
引用
收藏
页码：6070 / 6073
页数：4
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