A semi-supervised meta-learning framework with multi-soft labels and cosine similarity for few-shot cross-domain fault diagnosis
Structural Health Monitoring: An International Journal
Published online on September 02, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
Intelligent fault diagnosis of mechanical equipment is crucial to ensure safe industrial operation, but the high cost of manual labeling and the scarcity of fault data seriously restrict the performance of traditional methods. In order to identify faults ...
Intelligent fault diagnosis of mechanical equipment is crucial to ensure safe industrial operation, but the high cost of manual labeling and the scarcity of fault data seriously restrict the performance of traditional methods. In order to identify faults ...