Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction.

Convolutional Neural Network (CNN) has been extensively used in bearing fault diagnosis and Remaining Useful Life (RUL) prediction. However, accompanied by CNN's increasing performance is a deeper network structure and growing parameter size. This prevents it from being deployed in industrial applications with limited computation resources.