A gear fault diagnosis method based on neural network architecture search with cross-modal dynamic convolution enhancement
Multimodal fault diagnosis has attracted widespread attention in the field of rotating machinery due to the complementary information provided by multiple sensor signals. However, the design of signal fusion networks and the extraction of correlation features between multiple signals remain challenging. To address this...