MAML-S3M: Selective state space meta-learning for cross-condition few-shot bearing fault diagnosis
Structural Health Monitoring: An International Journal
Published online on July 15, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Deep learning achieves widespread success in fault diagnosis. However, its effectiveness is hindered in practical industrial environments due to complex operating conditions and data sparsity. This article proposes a novel model-agnostic meta-learning ...
Deep learning achieves widespread success in fault diagnosis. However, its effectiveness is hindered in practical industrial environments due to complex operating conditions and data sparsity. This article proposes a novel model-agnostic meta-learning ...