Fan Fault Forecasting Based on Wavelet Analysis and Support Vector Machine
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.
Wavelet analysis Support vector machine Fan Fault Forecasting
HUANG Wei HUANG Daming YAO Qihong LIU Huining WANG Yanxue
Department of Mechanical Engineering, Guangxi University, Nanning,530004,
国际会议
北京
英文
2007-08-05(万方平台首次上网日期,不代表论文的发表时间)