Lightweight intelligent fault diagnosis method based on a multi-stage pruning distillation interleaving network
Edge computing, a key technology in the Internet of Things, can help integrate real-time fault diagnosis into industrial applications.Lightweight and compression technologies are essential for deploying high-precision deep learning methods on resource-constrained edge computing systems.However, modeling accuracy is severely compromised by existing