基于统计特征图形模拟的高速列车监测数据的分析

采集高速列车在不同速度和工况下的监测数据,对各种工况下的实验数据用数理统计方法提取其振动信号中振动失衡、振动能量偏移、振动强点偏移等特征,并将这些特征用图形模拟的方式进行归纳识别。经过实验,结果表明该方法对高速列车故障的识别是可行有效的。

The analysis of high-speed train monitoring data based on Graphic simulation

Acquisition and monitoring data in different speed and working conditions of high speed train. Using the method of mathematical statistics extracting vibration imbalance, vibration energy offset, and vibration strength offset characteristics of vibration signals in the experimental data under various conditions vibration signals, and these characteristics using graphic simulation to classified recognition. After experiment, the results show that the method for high-speed train fault state identification is valid and feasible.