Murat Beken

Bearing Fault Diagnosis under Small-Sample Conditions Based on Unsupervised Representation Learning

Early detection of bearing faults in rotating machinery is essential for predictive maintenance. Although deep learning-based methods have achieved strong results in fault diagnosis, they usually require large amounts of labeled data. In industrial settings, however, faulty samples are limited, which restricts the appl...