Gearbox fault diagnosis and feature visualization based on multiscale convolution network with LSTM and attention mechanism
Aiming at the problems that traditional gearbox fault diagnosis methods rely on manual feature extraction, have poor adaptability to non-stationary vibration signals, and are difficult to effectively capture multi-scale fault features and key time periods, this paper proposes an end-to-end fault diagnosis model combini...