Chengming Huang

MFETA-Net: Multi-Branch Frequency Enhancement and Temporal Attention for Small-Sample Rolling Bearing Fault Diagnosis

A frequency-aware time–frequency representation learning framework, named Multi-branch Frequency Enhancement Temporal Attention Network (MFETA-Net), which achieves accuracies of 77.26% and 79.60% under the smallest training setting, indicating its capability to learn discriminative fault representations from limited la...