Interpretable acoustic fault diagnosis of industrial valves and pumps using a multi-feature fusion attention network
Acoustic-based fault diagnosis provides a non-invasive solution for monitoring industrial valves and pumps, but its reliability is often limited by background noise, class imbalance, and limited interpretability. This study proposes a multi-feature fusion and attention network (MFA-Net) for interpretable machinery acou...