Squirrel-Cage Induction Motor Fault Diagnosis Dataset

The <strong>Squirrel Cage Induction Motor Fault Diagnosis Dataset</strong> 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 <em>Wrocław University of Science and Technology</em> laboratory designed to simulate and study motor defects. The collected dataset is licensed under a <em>Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International</em> 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