Squirrel-Cage Induction Motor Fault Diagnosis Dataset

<p>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.</p> <p>Available data:</p> <ul> <li>thermal images</li> </ul> <p>The example dataset utilization is presented in the GitHub repository: <a href="https://github.com/MatPiech/motor-fault-diagnosis/tree/main">motor-fault-diagnosis</a></p> <p>Related publications:</p> <ul> <li><a href="https://ein.org.pl/Unraveling-Induction-Motor-State-through-Thermal-Imaging-and-Edge-Processing-A-Step,170114,0,2.html">Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis</a></li> </ul>