Train track environmental data for predictive maintenance
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资源简介：
On-board multimodal sensor dataset collected inside a running train using an embedded monitoring node for rail track predictive maintenance. Includes 40 Hz measurements of accelerometer, gyroscope, magnetometer, heading, environmental variables (temperature, humidity, pressure, lux), together with GPS-tagged samples from a full Madrid–Barcelona test route. The dataset was used to prototype vibration-based anomaly detection and to validate the AIRCAT data acquisition and edge-analytics pipeline.
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Zenodo创建时间：
2025-11-20
