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Ball Bearing Vibration Metrics — Operational States Dataset [752.6 kB]

Industrial IoT
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Abstract

"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."

Description

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

ColumnDescription
v-RMSEffective value of vibration velocity, reflecting total load of the rotating machine.
a-RMSEffective value of acceleration, useful for detecting mechanical contact, wear, or lubricant issues.
a-PeakMaximum acceleration value, used to monitor shocks or bearing damage events.
TemperatureTemperature measurement recorded by the sensor device.
Crest FactorRatio of peak value to RMS value, used for bearing condition evaluation.
operational_stateClass 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 Zenodo

Cite This Dataset

Karapalidou, Elisavet, Efraimidis, Agisilaos, Vologiannidis, Stavros, & Antoniou, Efstathios (2023). Ball Bearing Vibration Metrics — Operational States Dataset [752.6 kB]. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7589904

Source: Zenodo (2023) · DOI: 10.5281/zenodo.7589904

Indexed by IoTDataset.com on Jun 06, 2026

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