Compound faults often occur in rotating machinery, which increases the difficulty of fault
diagnosis. In this case, blind source separation, which usually includes independent …

To achieve compound faults diagnosis with single channel signal, a three-dimensional
geometric features-based sparse component analysis (TGF-SCA) method is proposed …

Rolling element bearing is one of the most commonly used supporting parts in rotating
machinery, and it is also one of the most easily failing rotating parts. It is of great safety and …

Influenced by factors such as speed fluctuation, rolling element sliding and periodical
variation of load distribution and impact force on the measuring direction of sensor, the …

Compound faults often occur simultaneously or successively due to the complexity of
intelligent mechatronic systems. The generation of such group faults will bring more …

The mechanical vibration source signal collected by sensor often includes a variety of
internal vibration source of contributions such as gears, bearings, shaft and so on. It is often …

The rolling element bearings used in rotating machinery generally include multiple
coexisting defects. However, individual defect–induced signals of bearings simultaneously …

As the key rotating parts in machinery, it is crucial to extract the latent fault features of rolling
bearing in machinery condition monitoring to avoid the occurrence of sudden accidents …

Compound faults of gear and bearing in a gearbox tend to couple features both of
distributed and localized defects. The vibration signal shows overlapped modulation …

Featured Application This work is applied to condition detection and fault diagnosis of
rotating machinery. Abstract The condition monitoring of rolling element bearings (REBs) is …