Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry

Liu, Jian; Qiao, Zijian; Ding, Xiaojian; Hu, Bing; Zang, Chuanlai

doi:10.1016/j.chaos.2021.110845

Cited by 20 publications

(2 citation statements)

References 42 publications

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“…Based on the proposed potential model, a TUBSR system for detecting weak damage features is established. To obtain better output performance, search algorithm is introduced to optimize the system parameters a, b and x t , the objective function is output SNR, 38 as defined in equation (13). Because GA has good global search performance and strong robustness, and which is selected in this paper.…”

Section: Tubsr Methodsmentioning

confidence: 99%

“…9 Since SR was proposed by Benzi et al 10 in studying the periodic changes of ancient climate, it had been widely used in various fields. [11][12][13] In the field of health monitoring for mechanical structure, the weak signals were extracted and detected by nonlinear system, and the target signal was enhanced with noise energy. [14][15][16] Based on feedback control and multi-system synergy, Li et al 17 proposed a double-feedback cascaded monostable SR system, which can better match the frequency characteristic of target signal.…”

Section: Introductionmentioning

confidence: 99%

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Structural damage detection of adaptive tangent-based unsaturated bistable stochastic resonance

Wang

Xuan

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The output saturation of classical bistable stochastic resonance (CBSR) limits its ability to enhance weak signal characteristics. To solve this problem, an adaptive tangent-based unsaturated bistable stochastic resonance (TUBSR) method is proposed. We construct a tangent-based piecewise unsaturated bistable potential model, and select the optimal system parameters with genetic algorithm (GA) to adaptively adjust the structure of potential model, so as to improve the output saturation and obtain a larger output signal-to-noise ratio (SNR). The simulated signals are used to verify that the TUBSR method can effectively improve the detection ability of weak signals. Finally, the method is applied to the damage detection of bearing inner race and the crack detection of curved plate. The results demonstrate that compared with CBSR and other improved bistable SR method, the TUBSR method has better detection ability for weak signals.

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Section: Tubsr Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural damage detection of adaptive tangent-based unsaturated bistable stochastic resonance

Wang

Xuan

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Stochastic resonance in image denoising as an alternative to traditional methods and deep learning

Shen

Yang

Jiang³

et al. 2022

Nonlinear Dyn

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Overdamped Ising machine with stochastic resonance phenomena in large noise condition

Liao,

Ma,

Sarker

et al. 2024

Nonlinear Dyn

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Gain-dissipative Ising machines (GIMs) are dedicated devices that can rapidly solve combinatorial optimization problems. The noise intensity in traditional GIMs should be significantly smaller than its saturated fixed-point amplitude, indicating a lower noise margin. To overcome the existing limit, this work proposes an overdamped bistability-based GIM (OBGIM). Numerical test on uncoupled spin network show that the OBGIM has a different bifurcation dynamics from that of the traditional GIM. Moreover, the domain clustering dynamics on non-frustrated network proves that the overdamped bistability enables the GIM to suppress noise-induced random spin-state switching effectively; thus, it can function normally in an environment with a relatively large noise level. Besides, some prevalent frustrated graphs from the SuiteSparse Matrix Collection were adopted as MAXCUT benchmarks. The results show that the OBGIM can induce stochastic resonance phenomenon when solving difficult benchmarks. Compared with the traditional GIM, this characteristic makes the OBGIM achieve comparable solution accuracy in larger noise environment, thus achieving strong noise robustness.

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Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry

Cited by 20 publications

References 42 publications

Structural damage detection of adaptive tangent-based unsaturated bistable stochastic resonance

Structural damage detection of adaptive tangent-based unsaturated bistable stochastic resonance

Stochastic resonance in image denoising as an alternative to traditional methods and deep learning

Overdamped Ising machine with stochastic resonance phenomena in large noise condition

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