The analysis of vibration signals has been a very important technique for fault diagnosis and
health management of rotating machinery. Classic fault diagnosis methods are mainly …

The fault diagnostics of rotating components are crucial for most mechanical systems since
the rotating components faults are the main form of failures of many mechanical systems. In …

To precisely diagnose the rotating machinery structural faults, especially structural faults
under low rotating speeds, a novel scheme based on combination of empirical mode …

Fault diagnosis is important for the maintenance of rotating machinery. The detection of
faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this …

Vibration analysis is a well-established technique for condition monitoring of rotating
machines as the vibration patterns differ depending on the fault or machine condition …

This paper proposes a method of fault diagnosis for non-stationary fault signals of rotating
machinery based on ensemble empirical mode decomposition (EEMD) time-frequency …

This paper proposes an intelligent diagnosis method for rotating machinery faults based on
improved variational mode decomposition (IVMD) and CNN to process the rotating …

The rolling bearings play a vital role in mechanical production and transportation. However,
when it appears abnormal, the fault characteristics are weak and different to be extracted in …

Because multi-fault vibration signals in rotating machinery are often more complicated than
single faults, human-designed fault feature sets are not yet able to respond adequately to …

Fault diagnosis of rotating machinery plays a significant role in the reliability and safety of
modern industrial systems. The traditional fault diagnosis methods usually need manually …