摘要
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.
作者
张明明
ZHANG Ming-ming(Petroleum Equipment and Electromechanical Engineering College,Dongying Vocational Institute,Dongying 257091 China)
出处
《自动化技术与应用》
2019年第12期107-109,共3页
Techniques of Automation and Applications
关键词
车轮踏面
磨损量
组合预测
灰色关联度
wheel tread
wear loss
combination forecasting
grey correlation degree