Stochastic resonance (SR), as a noise-enhanced signal processing tool, has been
extensively investigated and widely applied to mechanical fault detection. However …

非线性随机动力学是力学, 数学, 工程等多个领域关注的热点, 在航空航天, 机械工程,
生物生态等领域有广泛的应用. 多稳态动力系统作为其最重要的研究对象 …

We study aperiodic stochastic resonance (ASR) in a biased monostable system that
subjected to different weak aperiodic pulse signals and strong noise. It is found that the …

Bearing fault diagnosis is vital to guarantee the safe operation of rotating machines. Due to
the enhancement principle of energy conversion from noise to weak signal, noise-assisted …

The nonlinear stochastic dynamical system has been an important subject in areas of
mechanics, mathematics, engineering and so on, and finds various applications in different …

Bearings play an important role in the rotating machinery. Timely fault detection and
maintenance can prevent catastrophic incidents caused by bearing faults. As one of the …

Fractional-order (FO) differential equations are more and more frequently applied to
describe real-world applications or models of phenomena. Despite such models exhibiting …

Considering the difficulty of fault feature extraction from a rolling bearing under strong
background noise, we present a novel approach based on variational mode decomposition …

Stochastic resonance (SR) is an efficient fault feature extraction technique due to its unique
noise utilization mechanism. However, both the ignorance of high dependence between the …

Stochastic resonance has been widely used in bearing fault diagnosis due to the
enhancement principle of energy conversion from noise to weak signals. However, the …