A novel lightweight classification model based on dynamic separation representation and adaptive mapping decision for mechanical bearing fault diagnosis under strong noise interference
Structural Health Monitoring: An International Journal
Published online on February 05, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Mechanical bearing fault diagnosis is crucial for ensuring the reliability and safety of industrial equipment. However, in the presence of strong noise interference, existing methods face challenges such as high resource consumption, limited ...
Mechanical bearing fault diagnosis is crucial for ensuring the reliability and safety of industrial equipment. However, in the presence of strong noise interference, existing methods face challenges such as high resource consumption, limited ...