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

Rolling bearings are the crucial parts in rotating machines and its fault detection is
indispensable for ensuring operational reliability of entire mechanical system. To accurately …

When a localized defect is induced, the vibration signal of rolling bearing always consists
periodic impulse component accompanying with other components such as harmonic …

Rolling element bearings are of great importance and widely used in rotating machineries,
whose fault detection and diagnosis (FDD) are essential for insuring reliability of the entire …

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 …

The early defects in bearings tend to result in periodic impacts and, thus, cause impulse
components in vibration signals. However, these fault features are always submerged and …

In the incipient fault vibration signals of rolling bearings, weak fault features are easily
submerged in strong background noise and difficult to be extracted. The sparse …

The rolling bearing fault signal under strong background noise is very weak because of
environmental noise impaction and the attenuation of signal. The feature extraction of rolling …

The compound fault diagnosis of rolling bearings has become a hot topic. In this study, a
novel method based on adaptive sparse denoising (ASD) combined with periodicity …

Rolling element bearings are widely used in a variety of rotating machineries. If the rolling
bearing elements are damaged, a cyclical impact transient signal and the vibration signal …