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MetroPT-3: Predictive Maintenance for Metro Trains

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Catalog Summary

"Real-world data from a metro train's Air Production Unit (APU), capturing pressure, temperature, and motor current to predict component failures."

Catalog Notes

Industrial Relevance

Collected from an operational metro train in Porto, Portugal. It focuses on the Air Production Unit (APU), a critical component for braking and door systems.

Sensors

  • Pressure (TP2, TP3): Air pressure at different stages.
  • Motor Current: Electrical consumption of the compressor.
  • Oil Temperature: Monitoring thermal health.
  • Digital Signals: Valve status and control commands.

Data Preview

timestampTP2TP3H1DV_pressureReservoirsOil_temperatureMotor_current
2020-04-18 00:00:00-0.0129.3589.340-0.0249.36353.6000.040
2020-04-18 00:00:01-0.0129.3569.348-0.0229.36553.6750.040

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Research guide

Guides and analyses for this dataset

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Provided Citation

Narjes Davari, B. V. (2021). MetroPT-3 Dataset [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5VW3R

This citation is displayed as supplied. Automatic style conversion is disabled because structured citation metadata is not recorded.

Source metadata: External (2026)

Indexed by IoTDataset.com on Jan 13, 2026

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