Over the past two decades, vibrational resonance has garnered significant interest and
evolved into a prominent research field. Classical vibrational resonance examines the …

Organisms can sense subtle changes in the environment around them such as temperature,
vibration and magnetic field. That is because biological neural network interconnected …

Imperfections are unavoidable in production processes of real devices. Despite this, and
despite the fact that real devices usually operate in regimes far from ideality, they still work …

The vibrational resonance (VR) phenomenon has received a great deal of research
attention over the two decades since its introduction. The wide range of theoretical and …

The effects of electric field on vibrational resonance in single Hindmarsh-Rose (HR) neuron
and coupled HR neurons system are investigated by using Fourier coefficient, respectively. It …

Stochastic resonance (SR), as a signal processing method that is able to use noise to
enhance weak periodic signals, provides effective technical support for the detection of …

Accurate extraction of weak feature information in strong background noise is a key to detect
and identify rolling bearing faults. Stochastic resonance (SR) and vibrational resonance …

Incipient fault-induced weak impulses will not be detected easily using the existing fault
extraction methods. Stochastic resonance can flexibly use noises to enhance the signal-to …

Highlights•Propose a noise-utilization method for weak bearing fault detection.•Construct an
array of bistable systems based on vibrational resonance.•Different high-frequency …

Stochastic resonance (SR) has been widely concerned and studied in the field of
mechanical fault detection due to the capability of weak signal detection. However, research …