Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques. In particular. we utilized autoencoder-based deep learning models for unsupervised learning using only normal training vibration data. Datasets were generated from South Korean high-speed train data. https://www.ealisboa.com/great-pick-BERKLEY-POWER-WORM-7-100-PACK-super-buy/