Squirrel-Cage Induction Motor Fault Diagnosis Dataset

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:

Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis