As the occurrence of earthquakes is increasing in South Korea, the earthquake early warning (EEW) system becomes indispensable for the protection of high-speed railways. Although the importance of EEW system has been increasing, the number of installed seismic accelerometers in South Korea is not sufficient to provide rapid information. This study uses a stochastic signal analysis technique to utilize the smartphone sensors for the rapid EEW system. From the train vibration data from the low fidelity on-board accelerometer, the virtual earthquake detection data in the train by smartphone sensor has been constructed. To analyze the stochastic characteristics of the constructed data, the short time Fourier transform (STFT) approach has been applied. The study’s overall objective is to offer stochastic approaches that provide effective analysis of the low fidelity sensor data, such as smartphone sensor data, for the rapid EEW system.

中文翻译：

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利用信号分析技术开发高速列车地震检测技术。

随着韩国地震的发生越来越多，地震预警（EEW）系统对于保护高速铁路变得必不可少。尽管EEW系统的重要性一直在提高，但韩国安装的地震加速度计的数量不足以提供快速信息。这项研究使用随机信号分析技术将智能手机传感器用于快速EEW系统。根据来自低保真车载加速度计的火车振动数据，通过智能手机传感器构建了火车中的虚拟地震检测数据。为了分析所构造数据的随机特性，已应用了短时傅立叶变换（STFT）方法。