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 …

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

In the absence of advection, confined diffusion characterizes transport in many natural and
artificial devices, such as ionic channels, zeolites, and nanopores. While extensive …

In this paper, we introduce an innovative method known as Adaptive Two-Dimensional
Piecewise Tri-Stable Stochastic Resonance (TDPTSR) and discuss its applicability in …

Stochastic resonance (SR) is widely studied in signal feature extraction. The standard tri-
stable SR (STSR) method possesses superior performance than the classical bistable SR …

We present a particle separation mechanism which induces the motion of particles of
different sizes in opposite directions. The mechanism is based on the combined action of a …

This work presents analytical studies of the stiffness nonlinearities SD (smooth and
discontinuous) oscillator under displacement and velocity feedback control with a time …

We investigate the first passage properties of a Brownian particle diffusing freely inside ad-
dimensional sphere with absorbing spherical surface subject to stochastic resetting. We …

Transport of point-size Brownian particles under the influence of a constant and uniform
force field through a planar three-dimensional channel with smoothly varying, axis …

We numerically investigate the mean exit time of an inertial active Brownian particle from a
circular cavity with single or multiple exit windows. Our simulation results witness distinct …