Published July 29, 2023
| Version 1.0.0
Dataset
Open
Squirrel-Cage Induction Motor Fault Diagnosis Dataset
Description
The Squirrel Cage Induction Motor Fault Diagnosis Dataset is a multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using non-invasive methods such as thermal observation or vibration measurement. The measurements were gathered using an advanced Wrocław University of Science and Technology laboratory designed to simulate and study motor defects. The collected dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Available data:
- thermal images
The example dataset utilization is presented in the GitHub repository: motor-fault-diagnosis
Related publications:
Notes
Currently, the presented, publicly available dataset consists of thermal images. In further releases related to the publication process, other sensor data (vibrations, current signal, sound) will be added to this repository.
Files
LICENSE-CC-BY-NC-ND-4.0.txt
Files
(1.8 GB)
| Name | Size | Download all |
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md5:839605d878771006a0258a37ee189131
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19.1 kB | Preview Download |
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md5:1b31257ff77cbb533704e38754d8b6fd
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1.8 GB | Preview Download |
Additional details
Related works
- Has part
- Software: https://github.com/MatPiech/motor-fault-diagnosis/tree/main (URL)
- Is described by
- Journal article: 10.17531/ein/170114 (DOI)
References
- Piechocki M, Pajchrowski T, Kraft M, Wolkiewicz M, Ewert P. Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis. Eksploatacja i Niezawodność – Maintenance and Reliability. 2023;25(3). https://doi.org/10.17531/ein/170114