Fault detection is a key tool to ensure the safety and reliability of machinery. In machinery
fault detection, signal processing methods are extensively applied to extract fault …

The influence of bounded noise and time delay on the sub–threshold signal transmission in
FitzHugh–Nagumo neuronal networks is studied in this paper. It is found that the signal …

We study the effects of periodic subthreshold pacemaker activity and time-delayed coupling
on stochastic resonance over scale-free neuronal networks. As the two extreme options, we …

The application of stochastic resonance to mechanical energy harvesting is currently of
topical interest, and this paper concentrates on an analytical and experimental investigation …

Stochastic resonance (SR) has been proved to be an effective approach for weak signal
detection. In this paper, an underdamped step-varying second-order SR (USSSR) method is …

Recently, drive-by bridge inspection has attracted increasing attention in the bridge
monitoring field. A number of studies have given confidence in the feasibility of the approach …

In this paper, the archetypal smooth and discontinuous (SD) oscillator considered the gravity
is presented for the electromagnetic vibration energy harvesting driven by stochastic …

Stochastic resonance in an underdamped bistable system subjected to a weak asymmetric
dichotomous noise is investigated numerically. Dichotomous noise is a non-Gaussian color …

Stochastic resonance (SR) as effective approach for weak signal detection has been widely
used in bearing fault signal diagnosis. In this paper, a new method was proposed to detect …

In the gear fault diagnosis, the emergence of periodic impulse components in vibration
signals is an important symptom of gear failure. However, heavy background noise makes it …