摘要
为了对轧线电机温度趋势预测进行研究,提出了一种基于支持向量机的温度趋势预测算法。在对轧线电机冷却系统的工作原理及结构进行深入分析的基础上,建立了SVM多步预测模型并给出了预测评价指标。实际结果显示,该方法预测准确,具有较高的应用价值。
In order to research temperature trend forecasting of rolling electric machine,a temperature trend forecasting algorithm based on SVM is proposed. Based on the analysis of operating principle and the structure of cooling system of rolling electric machine, the multi - steps forecasting model is built. The forecasting evaluating indicator is given. The results showed this method has accurate forecast ability and good application value.
出处
《机械与电子》
2008年第1期75-77,共3页
Machinery & Electronics
关键词
支持向量机
轧线电机
温度趋势
预测
SVM
rolling electric machine
temperature trend
forecasting
