A synergistic distillation-based continual learning framework for health assessment of rotating machinery using multi-sensor data
Structural Health Monitoring: An International Journal
Published online on February 19, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Continual learning paradigm, which allows networks to learn from incremental samples without laborious retraining, has been introduced into health assessment of rotating machinery and has enjoyed considerable focus recently. However, there are still some ...
Continual learning paradigm, which allows networks to learn from incremental samples without laborious retraining, has been introduced into health assessment of rotating machinery and has enjoyed considerable focus recently. However, there are still some ...