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摘要:
We propose a joint exponential function and Woods-Saxon stochastic resonance (EWSSR) model. Because change of a single parameter in the classical stochastic resonance model may cause a great change in the shape of the potential function, it is difficult to obtain the optimal output signal-to-noise ratio by adjusting one parameter. In the novel system, the influence of different parameters on the shape of the potential function has its own emphasis, making it easier for us to adjust the shape of the potential function. The system can obtain different widths of the potential well or barrier height by adjusting one of these parameters, so that the system can match different types of input signals adaptively. By adjusting the system parameters, the potential function model can be transformed between the bistable model and the monostable model. The potential function of EWSSR has richer shapes and geometric characteristics. The effects of parameters, such as the height of the barrier and the width of the potential well, on SNR are studied, and a set of relatively optimal parameters are determined. Moreover, the EWSSR model is compared with other classical stochastic resonance models. Numerical experiments show that the proposed EWSSR model has higher SNR and better noise immunity than other classical stochastic resonance models. Simultaneously, the EWSSR model is applied to the detection of actual bearing fault signals, and the detection effect is also superior to other models.
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篇名 Novel Woods-Saxon stochastic resonance system for weak signal detection
来源期刊 中国物理B(英文版) 学科
关键词 stochastic resonance weak signal detection a joint exponential function and Woods-Saxon stochastic resonance signal-to-noise ratio
年,卷(期) 2020,(4) 所属期刊栏目
研究方向 页码范围 214-223
页数 10页 分类号
字数 语种 英文
DOI 10.1088/1674-1056/ab75ca
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stochastic resonance
weak signal detection
a joint exponential function and Woods-Saxon stochastic resonance
signal-to-noise ratio
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中国物理B(英文版)
月刊
1674-1056
11-5639/O4
北京市中关村中国科学院物理研究所内
eng
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17050
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27962
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