Interpretable Long-FIR Bi-Mamba Network for Noise-Robust Bearing Fault Diagnosis
\begin{abstract} Reliable bearing fault diagnosis from vibration measurements remains challenging when fault-induced impulses are weak and measured signals are contaminated by severe noise. Existing methods often improve diagnostic accuracy through time--frequency image transformation, synthetic sample generation, gr...