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 …

Noise enhanced signal detection via stochastic resonance (SR) is generally realized by
white noise tuning with an optimal noise intensity. This paper explores a new mechanism of …

Stochastic resonance and energy consumption are significant for information processing
and transmission in the neural system. In this paper, we constructed an excitatory–inhibitory …

On the basis of cascaded multi-stable stochastic resonance system (CMSRS) theoretical
studies, for the empirical mode decomposition (EMD) in heavy noisy mixtures, a method of …

In practical engineering applications, useful information is often submerged in strong noise
and the feature information is difficult to be extracted. Aimed at the detection problem of multi …

The response of the birhythmic fractional Van der Pol (VdP) self-sustained oscillator driven
both by time delay feedbacks and correlated noise is considered. We mainly focus on the …

Stochastic resonance (SR), a noise-assisted tool, has been proved to be very powerful in
weak signal detection. The multiscale noise tuning SR (MSTSR), which breaks the restriction …

A standard approach to analysis of noise-induced effects in stochastic dynamics assumes a
Gaussian character of the noise term describing interaction of the analyzed system with its …

Mechanical fault diagnosis usually requires not only identification of the fault characteristic
frequency, but also detection of its second and/or higher harmonics. However, it is difficult to …

The transient properties of a bistable system are investigated when both the multiplicative
noise and the coupling between additive and multiplicative noises are coloured with …