Dynamic axle temperature prediction method for high-speed train based on multiple regression model

The invention discloses a dynamic axle temperature prediction method for a high-speed train based on a multiple regression model. The dynamic axle temperature prediction method is specifically implemented according to the following steps: step 1, classifying original data of the train; step 2, distinguishing the classified data in step 1; step 3, establishing an axle temperature analysis flow model for the distinguished data obtained in step 2; and step 4, checking the flow model obtained in step 3. According to the dynamic axle temperature prediction method disclosed by the invention, the problem that an axle temperature can be predicted based on an axle temperature change mechanism in the prior art is solved. 本发明公开了种基于多元回归模型的高速列车动态轴温预测方法，具体按照以下步骤实施：步骤1、对列车的原始数据进行分类；步骤2：对步骤1进行分类后的数据进行分区处理；步骤3：对步骤2得到的分区处理后的数据建立轴温分析的流模型；步骤4：对步骤3得到的流模型进行检验，本发明解决了现有技术中存在的能基于轴温变化机理实现车轴温度预测的问题。