Fan Fault Forecasting Based on Wavelet Analysis and Support Vector Machine

摘要：

This paper introduced a method of fan fault forecasting1 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.

关键词： Wavelet analysis Support vector machine Fan Fault Forecasting

作者: HUANG Wei HUANG Daming YAO Qihong LIU Huining WANG Yanxue

作者单位: Department of Mechanical Engineering, Guangxi University, Nanning,530004,

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）