The review provides an overview of the state-of-the-art in Deep Learning (DL) algorithms for
rolling bearing fault classification which remains vital in industrial sectors including …

Traction motor bearings, serving as a critical component in trains, have a significant impact
on ensuring the safety of train operations. However, there is a scarcity of sample data for …

With the continuous development of computer technology, deep learning has been widely
used in fault diagnosis and achieved remarkable results. However, in actual production, the …

Surface defect detection is pivotal for ensuring product quality in various industries. These
defects typically manifest as low background contrast, substantial variations in shape, and a …

Railway vehicles are essential for modern urban transportation systems. With the rapid
global expansion of high-speed rail networks, ensuring running safety has become …

Rolling bearings play a crucial role in industrial equipment, and their failure is highly likely to
cause a series of serious consequences. Traditional deep learning-based bearing fault …

The increase in train operating speed and the alteration of the wheel-rail contact
relationship, which have resulted in a deterioration of the service conditions of axlebox …