Maximum cyclostationarity blind deconvolution (CYCBD) is an effective method for
extracting bearing weak fault impulse. However, the CYCBD-based bearing fault diagnosis …

Rotating machine is a common class of machinery in most of the industry and the main root
cause of machinery failure is a faulty bearing. Bearings are most widely used in various …

Rolling element bearing is a crucial component in rotating machines. The existence of faults
in the bearing causes sudden failures, resulting in catastrophic failure of machines. Incipient …

Random impulsive noise is a special kind of noise, which has strong impact features and
random disturbances with large amplitude, short duration, and long intervals. This type of …

The transformation of the mining machinery industry is oriented towards the adoption of
highly sophisticated technologies, with the aim of enhancing operational efficiency …

A hybrid flywheel-battery energy storage system is able to smooth the battery
charging/discharging; harmful impact can be filtered by the flywheel to reduce battery …

Fault diagnosis of the fluid end faces two challenges. One is that the vibration signal used for
diagnosis contains a lot of noise, and the other is that the vibration signal cannot fully reflect …

Kurtogram is a typical fault diagnosis algorithm, and its derivative methods are widely used
in bearing fault signal processing. The key to such methods is to select the indexes that are …

The presence of strong noise and vibration interference in fault vibration signals poses
challenges for extracting fault features from motor bearings. Therefore, appropriate pre …

The raceway damage of the bearing restricts the operation stability of the system. Therefore,
in the case of damage, simulating vibration response and predicting the performance of the …