Phenomenon of stochastic resonance caused by multiplicative asymmetric dichotomous noise

2006 ◽  
Vol 74 (5) ◽  
Author(s):  
Jing-hui Li ◽  
Yin-xia Han
2012 ◽  
Vol 538-541 ◽  
pp. 2598-2601
Author(s):  
Feng Bao Li ◽  
Xiao Yan Lei ◽  
Fu Cheng Zhu

The phenomenon of stochastic resonance (SR) in a time-delayed bistable system with square-wave signal, a constant force, with asymmetric dichotomous noise and multiplicative and additive colored noise is investigated. It is found that, the SR behavior can be observed on the signal-to-noise ratio (SNR) curves as a function of the intensity and asymmetry of the dichotomous noise, as a function of the amplitude of the square-wave, the constant force, as well as of the strength of the colored noises.


2021 ◽  
pp. 2150045
Author(s):  
Gang Zhang ◽  
Hui Wang ◽  
Tian Qi Zhang

Stochastic resonance (SR) can realize bearing fault signal diagnosis by transferring noisy energy. In order to enhance the output response of the system and realize effective signal extraction, the nonlinear mass fluctuation SR system caused by nonlinear asymmetric dichotomous noise is cascaded to obtain the cascaded nonlinear mass fluctuation SR system. First, the output amplitude gain of the first-stage of the system is derived, and the influence of different parameters on it is explored; then the effects of different parameters of the cascaded system on the output amplitude gain and the output SNR are studied separately, which proves that the cascaded system can effectively double enhance the output response of the system; finally, the adaptive genetic algorithm is used to solve the difficulty of parameter adjustment, and the cascaded nonlinear mass fluctuation SR system is applied to the bearing fault diagnosis. The system proposed in this paper takes into account the effects of nonlinear asymmetric dichotomous noise and cascaded systems and performs waveform smoothing and double enhancement of the output signal. It can better extract fault signals and has effective engineering value.


2008 ◽  
Vol 57 (12) ◽  
pp. 7482
Author(s):  
Guo Li-Min ◽  
Xu Wei ◽  
Ruan Chun-Lei ◽  
Zhao Yan

2012 ◽  
Vol 21 (8) ◽  
pp. 080502 ◽  
Author(s):  
Feng Guo ◽  
Xiao-Feng Cheng ◽  
Shao-Fu Li ◽  
Wen Cao ◽  
Heng Li

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