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MetroPT2 — Train Compressor Predictive Maintenance Benchmark [7.1M instances]

Industrial IoT & Predictive Maintenance Industrial IoT
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Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"Real train-compressor sensor dataset from Porto metro with 7,116,940 time-series instances and 21 attributes. CSV files support anomaly detection, failure prediction, and RUL research."

Catalog Notes

Overview

MetroPT2 is a benchmark dataset for predictive maintenance collected from an urban metro public transportation service in Porto, Portugal.

It captures analogue sensor signals, digital signals, and GPS information from a train compressor system.

The data were logged at 1 Hz by an onboard embedded device from 2022-04-28 to 2022-07-28.

Column Schema

ColumnDescription
timestampTime of the 1 Hz logged sensor observation.
pressure_signalsAnalogue pressure readings from the air production unit.
motor_currentCurrent-consumption signal associated with compressor operation.
oil_temperatureTemperature signal related to compressor oil condition.
flowmeterFlow measurement signal from the compressor system.
digital_control_signalsDiscrete or control-state signals recorded from the equipment.
gps_latitude_longitude_speedGPS location and speed information for operational context.
failure_eventFailure or event information used for failure prediction and RUL analysis.

Key Statistics

  • Total Records: 7,116,940 instances
  • Features: 21 attributes
  • File Format: Dataset files on Zenodo, commonly used as CSV time series
  • File Size: Not summarized as a single file size in extracted metadata
  • Time Period: 2022-04-28 to 2022-07-28

Use Cases

  • Train compressor predictive maintenance
  • Online anomaly detection
  • Remaining useful life prediction
  • Failure prediction with multivariate sensor streams

Source & Attribution

Created by Bruno Veloso, João Gama, Rita Ribeiro, and Pedro Pereira. Dataset DOI: 10.5281/zenodo.7766691. Described by Scientific Data article DOI 10.1038/s41597-022-01877-3.

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Zenodo.

Preview on Zenodo

Cite This Dataset

Veloso, B., Gama, J., Ribeiro, R., & Pereira, P. (2022). MetroPT2: A Benchmark dataset for predictive maintenance. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7766691

Source metadata: Zenodo (2022) · DOI: 10.5281/zenodo.7766691

Indexed by IoTDataset.com on Jun 06, 2026

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Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

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