MetroPT-3: Predictive Maintenance for Metro Trains
Abstract
"Real-world data from a metro train's Air Production Unit (APU), capturing pressure, temperature, and motor current to predict component failures."
Description
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
| timestamp | TP2 | TP3 | H1 | DV_pressure | Reservoirs | Oil_temperature | Motor_current |
|---|---|---|---|---|---|---|---|
| 2020-04-18 00:00:00 | -0.012 | 9.358 | 9.340 | -0.024 | 9.363 | 53.600 | 0.040 |
| 2020-04-18 00:00:01 | -0.012 | 9.356 | 9.348 | -0.022 | 9.365 | 53.675 | 0.040 |
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Cite This Dataset
External (2026). MetroPT-3: Predictive Maintenance for Metro Trains. [Dataset]. External. https://archive.ics.uci.edu/dataset/791/metropt+3+dataset
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 13, 2026
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