Open access
Aug 2026
Gearbox fault diagnosis method based on dynamic temporal convolution under strong noise and limited sample operating conditions
The effectiveness of the proposed dynamic depthwise separable temporal convolution, hierarchical residual-connected, long short-term memory, hierarchical adaptive attention (DDSC-T-HRC-LSTM-LSTM-HAA), a lightweight single-branch framework integrating DDSC-T, HRC LSTM, and HAA is validated.
Hong-Chao Wang, Bo-Wen Liu, Shuang-Wang Wang et al.
· Engineering Research Express · 0 citations