A novel coupled two-dimensional unsaturated asymmetric bistable stochastic resonance system for bearing fault detection

Zhang, Gang; Zhu, Xingyu; Jiang, Zhongjun

doi:10.1016/j.measurement.2022.111480

Cited by 13 publications

(4 citation statements)

References 39 publications

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“…Enhancements to the potential functions of SR models primarily involve the development of new potentials and the refinement of the classical bi-stable potential. These improvements encompass the introduction of mono-stable [30], tri-stable [31], periodic potential [32], exponential potential [33], piecewise potential [34], harmonic potential [35], and mixed potential SR [18,36,37], each contributing to the increased adaptability and effectiveness of SR models in signal detection applications. The development of SR models with new nonlinear equations is concentrated on enhancing the performance indicators of SR systems for diverse signal detection scenarios.…”

Section: Introductionmentioning

confidence: 99%

Linearly-coupled sigmoid bistable stochastic resonance for weak signal detection

Zong,

An,

Zhang

et al. 2024

Meas. Sci. Technol.

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The paper focuses on developing a stochastic resonance system designed for the detection of weak signals under Alpha-stable-distributed noises. Initially, in view of the strong impulsive characteristics of noises, a Linearly-coupled Sigmoid Bistable Stochastic Resonance (LSBSR) system is proposed, which is constructed by potential function and sigmoid function. Through formula derivation, it is theoretically proved that the output SNR of the LSBSR system is superior to that of the classical bistable stochastic resonance (CBSR) system. Then, a new signal processing strategy based on the LSBSR system is introduced. Simulation experiments have demonstrated that under the input SNR=-20dB, the detection probability of the LSBSR system exceeds 95% for the Alpha-stable-distributed noise with α=1.5. When α is reduced to 0.1, the detection probability approaches 80%, significantly outperforming other detection methods. Finally, the LSBSR system is applied to detect sea-trial signals with an SNR improvement (SNRI) of 22.5dB, which further validates the practicability of the proposed system.

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Section: Introductionmentioning

confidence: 99%

Linearly-coupled sigmoid bistable stochastic resonance for weak signal detection

Zong,

An,

Zhang

et al. 2024

Meas. Sci. Technol.

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“…The QPPSR system 2.1. Structure of the QPPSR model The Langevin equation [32] for an overdamped QPPSR system under the joint excitation of Gaussian white noise and an external input signal is:…”

Section: Introductionmentioning

confidence: 99%

A novel comprehensive method for weak signal blind detection based on adaptive quasi-periodic potential stochastic resonance and its application in bearing fault detection

He,

Jiang,

Gao

2024

Phys. Scr.

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In order to solve the common output saturation of stochastic resonance systems and the limitation of classical index SNR for blind detection, a novel adaptive quasi-periodic potential stochastic resonance blind detection method is proposed. First, a model of quasi-periodic potential stochastic resonance (QPPSR) possessing infinite steady state is constructed and analyzed for its structure change pattern. The superior performance of the model is verified by using the fourth-order Runge-Kutta algorithm. Secondly, the mechanism of QPPSR is analyzed using the probability flow method, which reveals the relationship between system parameters and performance. Again, a novel comprehensive blind detection index (CBDI) is exquisitely constructed to make up for the shortcomings of each indicator. Finally, CBDI and QPPSR are constructed into an adaptive blind detection system and applied to bearing fault detection. The results analyzed by experiments verify the good engineering application prospect of CBDI-QPPSR.

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“…Cui et al used two first-order multistable systems to propose a coupled multistable SR method to improve the detection performance of weak signals [35]. Zhang et al explored a new coupled two-dimensional unsaturated asymmetric bistable SR method to achieve feature extraction of rolling bearings [36]. He et al compared the performance of the coupled piecewise unsaturated tri-stable SR system with the cascaded piecewise unsaturated tri-stable SR system, and found that these systems have better detection capability than single SR system [37].…”

Section: Introductionmentioning

confidence: 99%

Weak fault feature extraction of rolling bearing based on multi-system coupled cascaded stochastic resonance system

Li,

Peng,

Zhang

et al. 2023

Meas. Sci. Technol.

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The accurate extraction of weak signal features under strong noise background plays a crucial role in the fault detection of rolling bearings. In order to promote the ability of stochastic resonance (SR) system to detect weak signals and improve the output performance of the system, a multi-system coupled cascaded SR (MCCSR) system is investigated and applied to the fault detection of rolling bearings. Firstly, a MCCSR system is constructed by exploiting the positive synergistic effect between multiple systems, which consists of a triangular-topology coupled system composed of three SR subsystems and a cascaded SR system with topology output as input. This system makes full use of the advantages of coupled system and cascaded system in weak signal detection. In terms of parameter optimization, a stepwise multi-parameter optimization strategy is proposed, which adopts different optimization methods for different parameters, and avoids the inconsistency between error and step factor by improving the least mean square algorithm. Finally, through the comparative analysis of numerical simulation and experimental signals, it is verified that the proposed method can effectively enhance the weak signal features and improve the system output signal-to-noise ratio, which can better serve for rolling bearing fault detection.

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A novel coupled two-dimensional unsaturated asymmetric bistable stochastic resonance system for bearing fault detection

Cited by 13 publications

References 39 publications

Linearly-coupled sigmoid bistable stochastic resonance for weak signal detection

Linearly-coupled sigmoid bistable stochastic resonance for weak signal detection

A novel comprehensive method for weak signal blind detection based on adaptive quasi-periodic potential stochastic resonance and its application in bearing fault detection

Weak fault feature extraction of rolling bearing based on multi-system coupled cascaded stochastic resonance system

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