A rolling element bearing is a common component in household and industrial machines.
Even a minor fault in this section has a negative impact on the machinery's overall operation …

In recent years, many researchers have attempted to achieve cross-domain diagnosis of
faults through domain adaptation (DA) methods. However, owing to the complex physical …

The increasing reliability and availability requirements of power electronic systems have
drawn great concern in many industrial applications. Aiming at the difficulty in fault …

Bearings are very important components in mechanical equipment, and detecting bearing
failures helps ensure healthy operation of mechanical equipment and can prevent …

An accurate landslide displacement prediction is an important part of landslide warning
system. Aiming at the dynamic characteristics of landslide evolution and the shortcomings of …

Brain stroke is a major cause of global death and it necessitates earlier identification
process to reduce the mortality rate. Magnetic resonance imaging (MRI) techniques is a …

Applying semi-supervised learning (SSL) methods, such as pseudo labeling and
consistency regularization, to rotating machinery fault diagnosis alleviates the difficulty of …

The application of deep learning to fault diagnosis has made encouraging progress in
recent years. However, it is hard to obtain sufficient labeled data to ensure the performance …

Due to the complex and diverse forms of automobile emission detection faults and various
interference factors, it is difficult to determine the fault types effectively and accurately use …

Aiming at the current situation that supervised deep learning is mainly used to extract fault
features and detect coarse-grained types of faults in rolling bearing fault diagnosis, a fine …