Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System

Mengdi Li; Peiming Shi; Wenyue Zhang; Fengshou Gu

doi:10.1007/978-3-031-26193-0_21

Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System

Mengdi Li, Peiming Shi, Wenyue Zhang, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Aiming at the problem that the coupled bistable stochastic resonance (CBSR) is almost always a two-dimensional potential system, a three-dimensional coupled bistable stochastic resonance (TCBSR) system is proposed, which is composed of a fixed parameter bistable system coupled with two adjustable parameter bistable systems. Firstly, the fourth-order Runge Kutta is used to calculate the system output, and the influence of noise intensity and system parameters a, b, r on the output signal-to-noise ratio (SNR) is simulated and analyzed. Then, taking SNR as the objective function, the particle swarm optimization (PSO) algorithm is applied to search the maximum SNR and its corresponding optimal parameter pair. The bearing outer race fault experiment proves that the proposed adaptive TCBSR method can better suppress the interference in high frequency band and has stronger weak signal feature enhancement and fault detection ability than adaptive CBSR system based on PSO, which is conducive to the application of SR in engineering practice.

Original language	English
Title of host publication	Proceedings of TEPEN 2022
Subtitle of host publication	Efficiency and Performance Engineering Network
Editors	Hao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
Publisher	Springer, Cham
Pages	245-254
Number of pages	10
Volume	129
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_21
Publication status	Published - 4 Mar 2023
Event	International Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China Duration: 18 Aug 2022 → 21 Aug 2022 https://tepen.net/ https://tepen.net/conference/tepen2022/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	129 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	International Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated title	TEPEN 2022
Country/Territory	China
City	Baotou
Period	18/08/22 → 21/08/22
Internet address	https://tepen.net/ https://tepen.net/conference/tepen2022/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Li, M., Shi, P., Zhang, W., & Gu, F. (2023). Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System. In H. Zhang, Y. Ji, T. Liu, X. Sun, & A. D. Ball (Eds.), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network (Vol. 129, pp. 245-254). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_21

Li, Mengdi ; Shi, Peiming ; Zhang, Wenyue et al. / Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System. Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. editor / Hao Zhang ; Yongjian Ji ; Tongtong Liu ; Xiuquan Sun ; Andrew David Ball. Vol. 129 Springer, Cham, 2023. pp. 245-254 (Mechanisms and Machine Science).

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title = "Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System",

abstract = "Aiming at the problem that the coupled bistable stochastic resonance (CBSR) is almost always a two-dimensional potential system, a three-dimensional coupled bistable stochastic resonance (TCBSR) system is proposed, which is composed of a fixed parameter bistable system coupled with two adjustable parameter bistable systems. Firstly, the fourth-order Runge Kutta is used to calculate the system output, and the influence of noise intensity and system parameters a, b, r on the output signal-to-noise ratio (SNR) is simulated and analyzed. Then, taking SNR as the objective function, the particle swarm optimization (PSO) algorithm is applied to search the maximum SNR and its corresponding optimal parameter pair. The bearing outer race fault experiment proves that the proposed adaptive TCBSR method can better suppress the interference in high frequency band and has stronger weak signal feature enhancement and fault detection ability than adaptive CBSR system based on PSO, which is conducive to the application of SR in engineering practice.",

keywords = "Coupled bistable system, Particle swarm optimization, Signal to noise ratio, Stochastic resonance",

author = "Mengdi Li and Peiming Shi and Wenyue Zhang and Fengshou Gu",

note = "Funding Information: Acknowledgments. The studies were funded by the National Natural Science Foundation of China (Grant numbers 61973262 and 51875500), Natural Science Foundation of Hebei Province (Grant number E2020203147) and the central government guides local science and technology development fund project (Grant numbers 216Z2102G and 216Z4301G). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",

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doi = "10.1007/978-3-031-26193-0_21",

language = "English",

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volume = "129",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "245--254",

editor = "Hao Zhang and Yongjian Ji and Tongtong Liu and Xiuquan Sun and Ball, {Andrew David}",

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Li, M, Shi, P, Zhang, W & Gu, F 2023, Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System. in H Zhang, Y Ji, T Liu, X Sun & AD Ball (eds), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. vol. 129, Mechanisms and Machine Science, vol. 129 MMS, Springer, Cham, pp. 245-254, International Conference of The Efficiency and Performance Engineering Network 2022, Baotou, China, 18/08/22. https://doi.org/10.1007/978-3-031-26193-0_21

Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System. / Li, Mengdi; Shi, Peiming; Zhang, Wenyue et al.

Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. ed. / Hao Zhang; Yongjian Ji; Tongtong Liu; Xiuquan Sun; Andrew David Ball. Vol. 129 Springer, Cham, 2023. p. 245-254 (Mechanisms and Machine Science; Vol. 129 MMS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System

AU - Li, Mengdi

AU - Shi, Peiming

AU - Zhang, Wenyue

AU - Gu, Fengshou

N1 - Funding Information: Acknowledgments. The studies were funded by the National Natural Science Foundation of China (Grant numbers 61973262 and 51875500), Natural Science Foundation of Hebei Province (Grant number E2020203147) and the central government guides local science and technology development fund project (Grant numbers 216Z2102G and 216Z4301G). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Aiming at the problem that the coupled bistable stochastic resonance (CBSR) is almost always a two-dimensional potential system, a three-dimensional coupled bistable stochastic resonance (TCBSR) system is proposed, which is composed of a fixed parameter bistable system coupled with two adjustable parameter bistable systems. Firstly, the fourth-order Runge Kutta is used to calculate the system output, and the influence of noise intensity and system parameters a, b, r on the output signal-to-noise ratio (SNR) is simulated and analyzed. Then, taking SNR as the objective function, the particle swarm optimization (PSO) algorithm is applied to search the maximum SNR and its corresponding optimal parameter pair. The bearing outer race fault experiment proves that the proposed adaptive TCBSR method can better suppress the interference in high frequency band and has stronger weak signal feature enhancement and fault detection ability than adaptive CBSR system based on PSO, which is conducive to the application of SR in engineering practice.

AB - Aiming at the problem that the coupled bistable stochastic resonance (CBSR) is almost always a two-dimensional potential system, a three-dimensional coupled bistable stochastic resonance (TCBSR) system is proposed, which is composed of a fixed parameter bistable system coupled with two adjustable parameter bistable systems. Firstly, the fourth-order Runge Kutta is used to calculate the system output, and the influence of noise intensity and system parameters a, b, r on the output signal-to-noise ratio (SNR) is simulated and analyzed. Then, taking SNR as the objective function, the particle swarm optimization (PSO) algorithm is applied to search the maximum SNR and its corresponding optimal parameter pair. The bearing outer race fault experiment proves that the proposed adaptive TCBSR method can better suppress the interference in high frequency band and has stronger weak signal feature enhancement and fault detection ability than adaptive CBSR system based on PSO, which is conducive to the application of SR in engineering practice.

KW - Coupled bistable system

KW - Particle swarm optimization

KW - Signal to noise ratio

KW - Stochastic resonance

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UR - https://link.springer.com/book/10.1007/978-3-031-26193-0

U2 - 10.1007/978-3-031-26193-0_21

DO - 10.1007/978-3-031-26193-0_21

M3 - Conference contribution

AN - SCOPUS:85151122589

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 245

EP - 254

BT - Proceedings of TEPEN 2022

A2 - Zhang, Hao

A2 - Ji, Yongjian

A2 - Liu, Tongtong

A2 - Sun, Xiuquan

A2 - Ball, Andrew David

PB - Springer, Cham

T2 - International Conference of The Efficiency and Performance Engineering Network 2022

Y2 - 18 August 2022 through 21 August 2022

ER -

Li M, Shi P, Zhang W, Gu F. Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System. In Zhang H, Ji Y, Liu T, Sun X, Ball AD, editors, Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. Vol. 129. Springer, Cham. 2023. p. 245-254. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_21

Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System

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