基于温度数据波动和轮对动态监测数据的车轮多面化识别方法

2019 IEEE International Conference on Prognostics and Health Management (ICPHM) Pub Date : 2019-06-01 DOI:10.1109/ICPHM.2019.8819425

Zejun Zheng, D. Song, X. Qi, Zilin Geng, Weihua Zhang

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引用次数: 0

摘要

随着高速动车组运行时间和运行速度的增加，高速动车组车轮多边形现象逐渐增多。在分析车轮多边形对车辆运行状态影响的基础上，通过对轮对动态监测数据和无线传输装置系统数据的观察和统计，提出了一种结合轴温数据和轮对动态监测数据波动的车轮多边形化识别方法，以提高高速列车的安全性，从而更好地监测高速列车的健康状态。

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Wheel Polygonalization Identification Method Based on Fluctuation of Temperature Data and Wheel Set Dynamic Monitoring Data

With the increase of running time and speed, the wheel polygon phenomenon of high speed EMU is increasing gradually. Based on the analysis of the influence of wheel polygon on vehicle running state and the observation and statistics of the wheel set dynamic monitoring data and the wireless transmit device system data, a method of the wheel polygonalization identification is proposed which integrates the fluctuation of axle temperature data and wheel set dynamic monitoring data to improve the safety of high speed trains, so that the health status of high speed trains can be better monitored.

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来源期刊

2019 IEEE International Conference on Prognostics and Health Management (ICPHM)

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