Enhanced bearing fault diagnosis under variable working conditions using ShuffleNet V2 with attention and adaptive normalization
Transactions of the Institute of Measurement and Control
Published online on March 25, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
With the increasing complexity of industrial equipment, bearing fault diagnosis faces challenges such as insufficient feature extraction capability and poor adaptability, highlighting the urgent need to improve diagnostic accuracy and efficiency. This ...
With the increasing complexity of industrial equipment, bearing fault diagnosis faces challenges such as insufficient feature extraction capability and poor adaptability, highlighting the urgent need to improve diagnostic accuracy and efficiency. This ...