A fault diagnosis method for critical rotating components in trains based on multi-pooling attention convolution and an improved vision transformer
Structural Health Monitoring: An International Journal
Published online on September 06, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
To address the susceptibility of sensor signals to strong noise interference, this study proposes a high-precision fault diagnosis method based on multi-sensor information fusion. The proposed approach integrates depthwise separable convolution (DSConv) ...
To address the susceptibility of sensor signals to strong noise interference, this study proposes a high-precision fault diagnosis method based on multi-sensor information fusion. The proposed approach integrates depthwise separable convolution (DSConv) ...