Mechanical equipment is the heart of industry. For this reason, mechanical fault diagnosis
has drawn considerable attention. In terms of the rich information hidden in fault vibration …

The fault diagnosis of rotating machinery is quite important for the security and reliability of
the overall mechanical equipment. As the main components in rotating machinery, the gear …

: The quality factors determine the resonance of resonance-based sparse signal
decomposition (RSSD), and directly affect the performance of RSSD. In the existing RSSD …

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

The impulse signal in large rotating machinery with damage fault is sparse, weak, coupled,
and even nonperiodic in intermittent operation. To extract this complex signal is a key topic …

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

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 …

Enlightened by ASTFA method, adaptive sparsest narrow-band decomposition (ASNBD)
method is proposed in this paper. In ASNBD method, an optimized filter must be established …

The bearing fault information is often interfered or lost in the background noise after the
vibration signal being transferred complicatedly, which will make it very difficult to extract …