Zhilin Dong

FDCA-GRU: A dual-branch fusion network with frequency dynamic convolution attention for bearing fault diagnosis

Rolling bearing fault diagnosis is confronted with significant technical challenges, including the difficult extraction of weak fault features and the insufficient fusion of one-dimensional (1D) temporal dynamics with two-dimensional time-frequency patterns. To address this issue, this article proposes a novel dual-bra...

A spectral heterogeneous graph neural network with multi-sensor fusion for machine fault diagnosis