基于NSET模型的高速列车轴温预测方法  

Prediction Method of High Speed Train Axle Temperature Based on NSET Model

作　　者：尹艳松 

机构地区：[1]兰州市轨道交通有限公司,甘肃兰州730020

出　　处：《工业控制计算机》2020年第12期26-27,30,共3页Industrial Control Computer

摘　　要：为对高速列车轴温进行预测,采用非线性状态估计(NSET)的方法对轴承温度进行研究;用皮尔逊相关系数法对特征参数进行选择,在减少模型的复杂性的同时又保证模型的准确性。通过所建模型来计算出小齿轮箱轴承的预测温度,与实际的运行温度进行对比,然后用滑动窗口对残差进行分析。验证结果表明,NSET模型可以准确预测列车轴承温度,实现轴温的预警,为行车策略调整提供依据。In order to predict the axle temperature of high-speed train,the nonlinear state estimation(NSET)method is used to study the bearing temperature.The Pearson correlation coefficient method is used to select the characteristic parameters,which can reduce the complexity of the model and ensure the accuracy of the model.The predicted temperature of the bearing is calculated by the model,and compared with the actual operating temperature.Then the residual is analyzed by the sliding window.The results show that nset model can accurately predict the bearing temperature of the train,realize the early warning of the axle temperature,and provide the basis for the adjustment of driving strategy.

关 键 词：高速列车 皮尔逊相关系数 NSET模型 轴温预测 

分 类 号：U279.323[机械工程—车辆工程]