MOIRA-UNIMORE Bearing Dataset — Independent Cart Systems [1.5 TB]
Catalog Summary
"Large bearing condition-monitoring dataset for independent cart systems with vibration and system-variable signals. Zenodo archives total about 1.5 TB for fault diagnosis and PdM."
Catalog Notes
Overview
MOIRA-UNIMORE is a bearing dataset for independent cart systems powered by linear motors.
It was created for machine health monitoring, predictive maintenance, fault diagnosis, and stochastic modelling in industrial transport systems.
Vibration signals were collected using sensors placed along the track with system variables such as cart position, following error, speed, and set current.
Column Schema
| Column | Description |
|---|---|
| vibration_channels | Vibration signals acquired from sensors placed along the independent-cart track. |
| cart_position | Position variable for the moving cart system. |
| following_error | Control-following error of the cart. |
| speed | Cart speed during the experiment. |
| set_current | Current set point or control variable recorded during operation. |
| fault_type | Inner-race or outer-race fault type, including top and bottom bearing locations. |
| fault_severity | Fault width severity, including 0.25 mm, 0.5 mm, 1.0 mm, and 1.5 mm. |
| experiment_type | Experiment configuration based on cart count, guide-rail section, and movement type. |
Key Statistics
- Total Records: Multiple large experiment archives; record reports about 1.5 TB total data volume
- Features: Vibration channels and system variables including position, following error, speed, and set current
- File Format: ZIP archives
- File Size: About 1.5 TB total data volume; example Experiment Type 8 archive is 28.9 GB
- Sampling Rate: 50 kHz; 24-bit resolution
Use Cases
- Industrial bearing predictive maintenance
- Fault diagnosis for independent cart systems
- Fault localization and severity classification
- Condition monitoring under variable speeds
Source & Attribution
Created by Abdul Jabbar, Marco Cocconcelli, Gianluca D'Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, and Riccardo Rubini. Dataset DOI: 10.5281/zenodo.14765815. Associated article DOI: 10.3390/app15073691.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Zenodo.
Preview on ZenodoCite This Dataset
Jabbar, A., Cocconcelli, M., D'Elia, G., Borghi, D., Capelli, L., Cavalaglio Camargo Molano, J., Strozzi, M., & Rubini, R. (2025). MOIRA-UNIMORE Bearing Dataset for Independent Cart Systems. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14765815
Source metadata: Zenodo (2025) · DOI: 10.5281/zenodo.14765815
Indexed by IoTDataset.com on Jun 06, 2026
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