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.jmannino.com/hot-price-Mules-Lupita-Trasparenti-hot-value/