Due to the fact that measured vibration signals from a bearing are complex and non-
stationary in nature, and that impulse characteristics are always immersed in stochastic …

Vibration signal produced by rolling element bearings has obvious non-stationary and
nonlinear characteristics, and it's necessary to preprocess the original signals to obtain …

In order to improve the fault diagnosis accuracy of bearings, an intelligent fault diagnosis
method based on Variational Mode Decomposition (VMD), Composite Multi-scale …

The monitoring of rolling element bearing is indexed as a critical task for condition-based
maintenance in various industrial applications. It allows avoiding unscheduled maintenance …

The working conditions of rolling bearings during the running change in real time. Aiming at
the problem of fault diagnosis of rolling bearing under complex working conditions, a new …

Bearing fault is a factor that directly affects the reliability of the machine tools. Small sample
bearing fault diagnosis plays an important role to improve the reliability of machine tools …

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 …

Rotating machinery contains numerous rolling bearings, which are critical for ensuring the
normal working position and accurate operation of individual shaft systems. However …

When the rolling bearing fails, the fault features contained in bearing vibration signal are
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …

Rolling bearing is an important part guaranteeing the normal operation of rotating
machinery, which is also prone to various damages due to severe running conditions …