Compound fault, as a primary failure leading to unexpected downtime of rotating machinery,
dramatically increases the difficulty in fault diagnosis. To deal with the difficulty encountered …

Internal defects in concrete structures pose a great risk and potential hazard to the safety
and durability of civil structure. Reliable and accurate detection of the internal conditions of …

Aiming at the problem that weak faults in rolling bearings make effective fault diagnosis
difficult under strong noise, this paper proposes a multilevel denoising technology based on …

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 …

In engineering ceramic grinding, the wheel wear states have an important influence on the
processing efficiency and grinding quality. To address the difficulty of online monitoring of …

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

Multi-scale permutation entropy (MPE) has poor stability, accuracy and noise immunity,
recognition accuracy of twin SVM is low, so a diagnosis method based on improved multi …

The emission signal of locomotive bearings is non-stationary, nonlinear and mixed with
complex noise when operating online. The adaptive decomposition method is widely …

A pumped storage power station is an electric power system that utilizes low-peak electricity
to pump water into a high-altitude reservoir and releases water to generate electricity during …

Fault diagnosis of rolling bearings is essential for the safe operation of rotating machinery.
However, in the production process, the rolling bearings have a complex working …