Wavelet-patch embedding and two-stage attention fusion for multi-sensor mechanical fault diagnosis
Transformer-based fault diagnosis models have shown promising performance in rotating machinery monitoring owing to their ability to capture long-range temporal dependencies. However, most existing methods rely on purely data-driven patch embedding strategies that lack physical interpretability and insufficiently explo...