The key to intelligent fault diagnosis is to find relevant characteristics with the capability of
representing different types of faults. However, the engineering problem is that a few simple …

In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an
essential part of improving machine life, reducing economic losses, and avoiding safety …

Recently, research on data-driven bearing fault diagnosis methods has attracted increasing
attention due to the availability of massive condition monitoring data. However, most existing …

Intelligent diagnosis is one of the key points of research in the field of bearing fault
diagnosis. As a representative unsupervised data expansion method, generative adversarial …

Transfer learning has attracted great attention in intelligent fault diagnosis of bearings under
different working conditions. However, existing studies have the following limitation.(1) The …

In the event of mechanical equipment failure, the fault may not belong to any known
category, and existing deep learning methods often misclassify such faults into a known …

Rolling bearings are the core components of rotating machinery. Their health directly affects
the performance, stability and life of rotating machinery. To prevent possible damage, it is …

High precision and fast fault diagnosis is an important guarantee for the safe and reliable
operation of machinery. In recent years, due to the strong recognition ability, data-driven …

Fault diagnosis is important to ensure the safety and efficience of mechanical equipment. In
recent years, data-driven fault diagnosis methods have received extensive attention and …

With the increasing complexity of industrial equipment, it is urgent to provide timely
diagnosis and accurate evaluation to avoid failure. For rolling bearings, it is important to …