A lightweight convolutional neural network method for bearing fault diagnosis based on dynamic weighting and variable-scale feature extraction
Fault diagnosis of rolling element bearings is crucial for ensuring the safety, reliability, and economic efficiency of modern industrial systems. However, conventional deep learning models often suffer from high computational costs and fixed receptive fields, which limit their deployment on resource-constrained edge d...