Interpretable acoustic fault diagnosis of industrial valves and pumps using a multi-feature fusion attention network
Comparisons with Support Vector Machine, convolutional neural network, and standalone Transformer baselines show that MFA-Net provides competitive classification performance and stronger pump diagnosis under several noisy conditions, while computational-cost analysis indicates an inference latency of 6.0401 ms per samp...