Nature

Intelligent fault diagnosis of rotating machinery based on improved hybrid dilated convolution network for unbalanced samples

In practical industrial applications, obtaining a sufficient number fault samples for specific types of equipment fault can be challenging. As a result, there are frequently significantly fewer defect ...
Nature

A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis

Rolling bearings, as key components of rotating machinery, possess advantages such as high load-bearing capacity and low friction resistance 1. However, under complex working conditions—such as high ...