The failure of a rolling bearing may cause the shutdown of mechanical equipment and even
induce catastrophic accidents, resulting in tremendous economic losses and a severely …

Effectively identifying the health status of rolling bearings can reduce the maintenance costs
of rotating mechanical components. With the development and improvement of various …

Extracting fault feature is hard to realize because of weak fault impact components and
environmental noise interference in vibration signals. Thus, a hybrid fault diagnosis method …

Owing to the nonlinearity and nonstationarity of the bearing fault signal, it is difficult to
identify fault characteristics under the influence of a strong noise environment. The …

The periodic impact components generated by bearing defects are often weak and
submerged by strong background noise due to the influence of complex transmission path …

To address the problem that bearing fault signals are usually contaminated by strong
background interference due to multiple structures and complex transmission paths, which …

In the operation process of the rotating machinery, compound faults have various
combination forms and are difficult to reproduce, which results in the scarcity of training …

The methods of mode decomposition based on the amplitude of spectrum are widely used in
the fault diagnosis of bearings and gears in rotating machinery such as centrifuges, slurry …

Rolling bearing fault diagnosis is significant in rotating machinery daily maintenance.
However, it is still difficult to diagnose the weak fault of rolling bearing under variable speed …

A new fault diagnosis method of rolling bearings was presented based on variational mode
decomposition (VMD), Tsallis entropy and Fuzzy C-means clustering (FCM) algorithm …