Intelligent fault diagnosis of yaw damper in graph convolutional neural networks based on convolution and attention mechanisms

Cangpeng Zhao, Jinsong Zhou, Zhihui Men, Liangcheng Dai, Dao Gong, Kai Zhou, Hongbo Ran, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University

Journal of Vibration and Control

Published online on February 10, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
Traditional fault diagnosis methods for yaw damper based on deep learning focus solely on the features of each individual sensor signals, neglecting the interrelationships of signal features under the spatial layout of the sensors. To address this, the ...