Research on sway detection method of subway train based on MEMS gyroscope technology

Wei Chen, Zhenfeng Cao, Zhen Yang, Ming-lai Yang
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Abstract

Aiming at the sway of the subway train when it is running, this paper proposes a sway detection method for subway trains based on MEMS gyroscope technology. The method uses MEMS gyroscope to obtain the variation range of the rolling angle and pitch angle of the subway train, and then uses the wavelet filtering algorithm to denoise, and finally obtains a smooth fitting curve by the least squares method. Through the processing of this method, the sway information of the subway train can be obtained more effectively, which has reference significance for the realization of comprehensive subway detection.
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基于MEMS陀螺仪技术的地铁列车摇摆检测方法研究
针对地铁列车运行时的摇摆问题,提出了一种基于MEMS陀螺仪技术的地铁列车摇摆检测方法。该方法利用MEMS陀螺仪获取地铁列车的滚动角和俯仰角的变化范围,然后利用小波滤波算法进行降噪,最后通过最小二乘法得到光滑的拟合曲线。通过该方法的处理,可以更有效地获取地铁列车的摇摆信息,对实现地铁综合检测具有参考意义。
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