CTNet: an interpretable convolutional neural network for bearing fault diagnosis
Structural Health Monitoring: An International Journal
Published online on October 08, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
Convolutional neural networks (CNNs) are widely used in intelligent fault diagnosis for their strong feature extraction and nonlinear representation abilities. However, their black-box nature makes decision-making processes and classification rationale ...
Convolutional neural networks (CNNs) are widely used in intelligent fault diagnosis for their strong feature extraction and nonlinear representation abilities. However, their black-box nature makes decision-making processes and classification rationale ...