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Author

Jaejin Hwang

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Conference

Data-Driven Failure Prediction in Metro Trains: An ML-Based Approach to Predictive Maintenance

This study aims to predict metro-train failures using machine learning (ML) models, specifically focusing on XGBoost and Random Forest. Data from the MetroPT dataset were labeled based on time intervals relative to failure: from the start of the dataset to 24 hours before failure, 24 to 2 hours before, 2 hours prior, a...

Jaejin Hwang, P. Sivakumar, Harihaaran Duraisamy Karunambigai et al. · 0 citations

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