The vibration signal of the axle box bearing of the train is affected by the track excitation and
the random noise of the environment. The vibration signal is nonlinear and non-stationary …

Sensor techniques and emerging CNN models have greatly facilitated the development of
collaborative fault diagnosis. Existing CNN models apply different fusion schemes to …

Due to the complex and rugged working environment of real machinery equipment, the
resulting fault information is easily submerged by severe noise interference. Additionally …

Significant wave height information is used to measure the intensity of storms and is an
important factor in forecasting potential damage in coastal communities, to marine vessels …

The planetary gearbox is a key transmission apparatus used to change speed and torque.
The planetary gear is one of the most failure-prone components in a planetary gearbox. Due …

The vibration signal of the bearing from a train is non-stationary, nonlinear, and mixed with
noise, which makes it challenging to extract the fault feature from the vibration signal and …

Variational mode decomposition (VMD) is an adaptable signal decomposition approach.
VMD has excellent noise abatement performance, which is frequently used to identify rolling …

The effect of early fault vibration signals from rotating machinery is weak and easily drowned
out by intense noise. Therefore, it is still a great challenge to make early fault diagnosis. An …

As a major component of rotating machinery, rolling bearings are prone to failure because
they usually work in harsh environment and are subjected to heavy cyclic loads. Meanwhile …

As one of the key components of the train, the condition of the bearing is related to the train's
safe operation. The vibration signal of the bearing is usually nonlinear and nonstationary …