A frequency-prior guided dual-attention and gated fusion network for intelligent bearing fault diagnosis
Structural Health Monitoring: An International Journal
Published online on February 14, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Current deep learning methods for bearing fault diagnosis still suffer from insufficient exploitation of physical priors, difficulty in jointly modeling global and local features, and limited adaptability of fusion mechanisms. To address these issues, ...
Current deep learning methods for bearing fault diagnosis still suffer from insufficient exploitation of physical priors, difficulty in jointly modeling global and local features, and limited adaptability of fusion mechanisms. To address these issues, ...