Faiza Ayyob

Integrated Transfer and Self-Supervised Learning for Data-Efficient Bearing Fault Diagnosis: A Survey Toward Industry 5.0

Rolling bearing fault diagnosis remains constrained by three persistent challenges arising from limited labeled fault data, distribution shifts across machines and operating conditions, and privacy restrictions on centralized data collection. Transfer learning (TL) and self-supervised learning (SSL) address these chall...