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Derailment precaution detection system, control device, derailment precaution detection method, and derailment precaution detection program

机译:脱轨预防措施检测系统,控制装置,脱轨预防措施检测方法,以及脱轨预防措施检测程序

摘要

To provide a derailment sign detection system capable of enhancing the detection accuracy of a train derailment sign.SOLUTION: A wavelet analysis is respectively applied to pitch angular velocity θ(t), roll angular velocity φ(t) outputted from an angular velocity sensor 35 mounted on a truck, and a wavelet coefficient 14 of the pitch angular velocity and a wavelet coefficient 15 of the roll angular velocity are calculated. Each of the two wavelet coefficients 14, 15 changing in time series is compared with a wavelet coefficient threshold 16 to detect a derailment sign when both coefficients exceed the threshold. A wavelet coefficient calculated about a low frequency region, for example, of 0.5 to 100 Hz is used. Two kinds of derailment sign detection algorithm of a frequency region and a time region are combined to enhance derailment sign detection accuracy. Real time processing of the frequency region becomes possible by adopting the wavelet analysis to achieve derailment prevention.SELECTED DRAWING: Figure 4
机译:提供一种能够提高列车脱轨标志的检测精度的脱轨标志检测系统。策略:从角速度传感器35输出的桨速角速度θ(t),辊角速度φ(t)分别施加小波分析。计算在卡车上,并计算桨距角速度的小波系数14和辊角速度的小波系数15。在时间序列中改变的两个小波系数14,15中的每一个与小波系数阈值16进行比较,以检测当两个系数超过阈值时检测脱轨符号。使用例如约0.5至100Hz的低频区域计算的小波系数。频率区域和时间区域的两种脱轨符号检测算法组合以增强脱轨符号检测精度。通过采用小波分析来实现脱轨预防,可以实现频率区域的实时处理。选择的绘图:图4

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