首页> 外国专利> Method for predicting adhesion coefficient at contact point between wheel and rail of railway vehicle, method for improving adhesion coefficient at contact point between wheel and rail of railway vehicle, and apparatus for implementing these methods

Method for predicting adhesion coefficient at contact point between wheel and rail of railway vehicle, method for improving adhesion coefficient at contact point between wheel and rail of railway vehicle, and apparatus for implementing these methods

机译:用于预测铁路车辆轮轨道与轨道之间接触点的粘附系数的方法,改善铁路车辆轮轨与轨道之间接触点的粘附系数的方法,以及实现这些方法的装置

摘要

The moisture on the rail is associated with the reduction of the sticking coefficient between the rail and the rail of the railway vehicle, which may result in a safety risk or delay in the operation flow.In order to increase the adhesion coefficient as shown by the original, in the prior art, for example, the vehicle is sprayed to the rail automatically by the driver of the traction vehicle or in the danger state.The present invention provides a method for predicting the adhesion coefficient between wheels and rails by using various different parameters, such as temperature and pressure, already detected by an existing system of a railway vehicle in the self learning algorithm.Disclosed are methods for improving the adhesion coefficient and apparatus for performing the above two methods.
机译:轨道上的水分与铁路车辆的轨道和轨道之间的粘附系数的减小相关联,这可能导致操作流程的安全风险或延迟。在顺序增加粘合系数,如图所示 例如,在现有技术中,在现有技术中,车辆被牵引车的驱动器自动喷射到轨道上或以危险状态自动喷射到轨道上。本发明提供了一种通过使用各种不同的方式预测轮子和轨道之间的粘附系数的方法 通过在自学习算法中的火车车辆的现有系统中已经检测到的参数,例如温度和压力,例如在自学习算法中的现有系统。分立是用于改善用于执行上述两种方法的粘附系数和装置的方法。

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