Ball Bearing Vibration Metrics — Operational States Dataset [752.6 kB]
Catalog Summary
"Labeled CSV dataset of ball-bearing vibration metrics captured every two minutes with an IFM VVB001 sensor. 752.6 kB for multi-class predictive-maintenance modeling."
Catalog Notes
Overview
This Zenodo dataset contains labeled vibration-analysis metrics for a 6204 2RS ball bearing.
It was created to train an artificial neural network for multi-class classification within a predictive-maintenance strategy.
Measurements were captured every two minutes using an IFM VVB001 vibration sensor.
Column Schema
| Column | Description |
|---|---|
| v-RMS | Effective value of vibration velocity, reflecting total load of the rotating machine. |
| a-RMS | Effective value of acceleration, useful for detecting mechanical contact, wear, or lubricant issues. |
| a-Peak | Maximum acceleration value, used to monitor shocks or bearing damage events. |
| Temperature | Temperature measurement recorded by the sensor device. |
| Crest Factor | Ratio of peak value to RMS value, used for bearing condition evaluation. |
| operational_state | Class label corresponding to the bearing grease or operational state. |
Key Statistics
- Total Records: Labeled CSV records; exact row count not stated in Zenodo metadata
- Features: v-RMS, a-RMS, a-Peak, Temperature, Crest Factor, and label
- File Format: CSV
- File Size: 752.6 kB
- Sampling Interval: Every two minutes
Use Cases
- Ball-bearing predictive maintenance
- Multi-class classification of operational states
- Lubrication-condition monitoring
Source & Attribution
Created by Elisavet Karapalidou, Agisilaos Efraimidis, Stavros Vologiannidis, and Efstathios Antoniou. Published on Zenodo with DOI 10.5281/zenodo.7589904.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Zenodo.
Preview on ZenodoCite This Dataset
Karapalidou, E., Efraimidis, A., Vologiannidis, S., & Antoniou, E. (2023). Vibration analysis metrics of a ball bearing during different operational states. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7589904
Source metadata: Zenodo (2023) · DOI: 10.5281/zenodo.7589904
Indexed by IoTDataset.com on Jun 06, 2026
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