基于灰色关联度准则的车轮踏面磨损量预测分析

Prediction and Analysis of Wheel Tread Wear Based on Grey Relational Criterion

为了提高车辆轮与踏面磨损量预测精度,引入了灰色关联度,建立以灰色关联度最大为基础的磨损量变权组合预测模型。研究结果表明组合预测比单一预测的精度更高。

In order to improve the accuracy of the prediction of vehicle wheel and tread wear, grey relational degree is introduced and a combined prediction model of wear weight change based on the maximum grey relational degree is established. The research results show that the combined prediction is more accurate than the single prediction.