As the main transmission components of rotating machinery, rolling bearings have important
research significance for fault diagnosis and state detection. However, the operating …

Low rotational speed and heavy load lead to the weak vibration energy and complexity of
signals captured on wind turbine mainshaft bearing. Compared with single fault diagnosis …

This paper investigates the stochastic resonance and mean-first passage time of a quad-
stable potential in the presence of Gaussian white noise and periodic forcing. The analytical …

Rolling bearings often run under variable speed condition, in addition to constant speed
condition. How to achieve the bearing fault diagnosis under variable speed condition has …

The stochastic resonance (SR) in a bistable system driven by nonlinear frequency
modulation (NLFM) signal and strong noise is studied. Combined with empirical mode …

The moving average (MA) method has been widely used in signal processing, but it has
problems of the dead zone and the fixed window. In this paper, an adaptive moving average …

Based on the time-frequency analysis, a piecewise re-scaled method is proposed to realize
aperiodic resonance in a Duffing system excited by the nonlinear frequency modulated …

Early fault diagnosis of rolling bearings is of great significance in the application of
mechanical equipment, which makes the extraction of weak fault signals particularly critical …

Image denoising is the key step for image preprocessing. In particular, denoising of a strong
noisy image is truly necessary, even though it might be difficult. Among the different image …

In stochastic resonance (SR) weak signal detection, there is no literature currently report on
the study and comparison of one-dimensional (1D) and 2D pinning potential worldwide …