VBL-VA001: Lab-scale vibration analysis dataset
<p>This dataset is a collection of vibration data (x, y, z) from four machine conditions: normal, bearing fault, misalignment, and unbalance. There are 4000 files, each folder contains 1000 CSV files.</p> <p>Specification:</p> <ul> <li>Machine: Panasonic GP –129JXK</li> <li>Sensor: enDAQ LOG-0002-100G-DC-8GB-PC Shock & Vibration Sensor</li> <li>Length: 5 seconds per CSV file</li> <li>Sampling rate: 20 kHz.</li> </ul> <p>Repository for baseline methods: <a href="https://github.com/bagustris/vbl-va001">https://github.com/bagustris/vbl-va001</a>.</p> <p>Refer to our paper for detail: <a href="https://link.springer.com/article/10.1007/s42417-023-00959-9">https://link.springer.com/article/10.1007/s42417-023-00959-9</a></p> <p>The preprint is also available at ArXiv: <a href="https://arxiv.org/abs/2212.14732">https://arxiv.org/abs/2212.1473</a>.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4
Topics
Dataset details
- Repository
- zenodo
- Published
- August 17, 2022
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.7006574
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.