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 …

Fault diagnosis of wind turbine drivetrains is vital to maintain the reliability of wind turbines
and stochastic resonance (SR) is regarded as a powerful method to amplify the fault …

Noise would give rise to incorrect filtering frequency-band selection in signal filtering-based
methods including fast kurtogram, teager energy operators and wavelet packet transform …

To improve energy harvesting performance, this paper investigates the resonance
mechanism of nonlinear vibrational multistable energy harvesters under narrow‐band …

Considering not only the stochastic track irregularity and the possible effect of stochastic
parameter excitation, but also the time delay of spring, that is, its response is in place, but the …

Stochastic resonance (SR) is an effective tool to enhance weak signal by utilizing noise to
reach a certain synergistic effect, which has been widely studied in the field of weak signal …

A dynamical model submerged in two colored multiplicative and additive noises by colored
cross-correlation is established to elaborate controllable asymmetric potential-well with …

Strategies for the energy harvesting of low-frequency vibration modes such as sphygmus
and human body motions are immature due to the rigorous resonance issue. Stochastic …

The mechanism of stochastic factors in wind load on iced transmission line galloping has
attracted widespread attention. In this paper, the random part of wind load is simulated by …

Stochastic resonance (SR) and stochastic bifurcations are investigated numerically in a
nonlinear tri-stable system driven by colored noise and a harmonic excitation. The power …