A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis

Weijie Tang; Shiqing Huang; Rongfeng Deng; David Mba; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-031-26193-0_76

A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis

Weijie Tang, Shiqing Huang, Rongfeng Deng, David Mba, Fengshou Gu, Andrew D. Ball

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

2 Citations (Scopus)

Abstract

Compared with traditional diagnostic technologies such as vibration sensors and visual cameras, acoustic sensors have the advantages of remote and global sensing, rapid deployment, good real-time performance, and low cost. However, acoustic signals are easily disturbed by ambient noise and decay rapidly, which makes it difficult to analyze faults in practical applications, especially when the fault signal as a low signal-to-noise ratio. By designing a metamaterial structure with a high refractive index medium and reasonable geometric parameters, the wavelength of sound wave can be compressed to improve the sound pressure. Employing fan blade faults as an object, Hilbert envelope spectrum analysis was used to demodulate fault characteristic information. Experimental results show that the acoustic metamaterial structure can enhance the signal significantly, providing high signal-to-noise ratio envelope spectrum for diagnosing fan blade faults. The study has demonstrated this acoustic metamaterial structure is an effective way to improve the applicability of acoustic measurement for condition monitoring.

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	865-876
Number of pages	12
Volume	129
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_76
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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Tang, W., Huang, S., Deng, R., Mba, D., Gu, F., & Ball, A. D. (2023). A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis. 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. 865-876). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_76

Tang, Weijie ; Huang, Shiqing ; Deng, Rongfeng et al. / A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis. 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. 865-876 (Mechanisms and Machine Science).

@inproceedings{0cbc358ecbce427283e53702ff67a804,

title = "A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis",

abstract = "Compared with traditional diagnostic technologies such as vibration sensors and visual cameras, acoustic sensors have the advantages of remote and global sensing, rapid deployment, good real-time performance, and low cost. However, acoustic signals are easily disturbed by ambient noise and decay rapidly, which makes it difficult to analyze faults in practical applications, especially when the fault signal as a low signal-to-noise ratio. By designing a metamaterial structure with a high refractive index medium and reasonable geometric parameters, the wavelength of sound wave can be compressed to improve the sound pressure. Employing fan blade faults as an object, Hilbert envelope spectrum analysis was used to demodulate fault characteristic information. Experimental results show that the acoustic metamaterial structure can enhance the signal significantly, providing high signal-to-noise ratio envelope spectrum for diagnosing fan blade faults. The study has demonstrated this acoustic metamaterial structure is an effective way to improve the applicability of acoustic measurement for condition monitoring.",

keywords = "Acoustic enhancement, Fan blade fault diagnosis, Hilbert envelope spectrum analysis, Metamaterial structure",

author = "Weijie Tang and Shiqing Huang and Rongfeng Deng and David Mba and Fengshou Gu and Ball, {Andrew D.}",

note = "Funding Information: Acknowledgments. This work was supported by the Education Science Planning Project of Guangdong Education Department (Grant 2021GXJK179) and the school-enterprise Cooperative Education Project of Guangdong Province (Grant PROJ1178609437968044032). 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_76",

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Tang, W, Huang, S, Deng, R, Mba, D, Gu, F & Ball, AD 2023, A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis. 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. 865-876, 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_76

A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis. / Tang, Weijie; Huang, Shiqing; Deng, Rongfeng 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. 865-876 (Mechanisms and Machine Science; Vol. 129 MMS).

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

TY - GEN

T1 - A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis

AU - Tang, Weijie

AU - Huang, Shiqing

AU - Deng, Rongfeng

AU - Mba, David

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Funding Information: Acknowledgments. This work was supported by the Education Science Planning Project of Guangdong Education Department (Grant 2021GXJK179) and the school-enterprise Cooperative Education Project of Guangdong Province (Grant PROJ1178609437968044032). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Compared with traditional diagnostic technologies such as vibration sensors and visual cameras, acoustic sensors have the advantages of remote and global sensing, rapid deployment, good real-time performance, and low cost. However, acoustic signals are easily disturbed by ambient noise and decay rapidly, which makes it difficult to analyze faults in practical applications, especially when the fault signal as a low signal-to-noise ratio. By designing a metamaterial structure with a high refractive index medium and reasonable geometric parameters, the wavelength of sound wave can be compressed to improve the sound pressure. Employing fan blade faults as an object, Hilbert envelope spectrum analysis was used to demodulate fault characteristic information. Experimental results show that the acoustic metamaterial structure can enhance the signal significantly, providing high signal-to-noise ratio envelope spectrum for diagnosing fan blade faults. The study has demonstrated this acoustic metamaterial structure is an effective way to improve the applicability of acoustic measurement for condition monitoring.

AB - Compared with traditional diagnostic technologies such as vibration sensors and visual cameras, acoustic sensors have the advantages of remote and global sensing, rapid deployment, good real-time performance, and low cost. However, acoustic signals are easily disturbed by ambient noise and decay rapidly, which makes it difficult to analyze faults in practical applications, especially when the fault signal as a low signal-to-noise ratio. By designing a metamaterial structure with a high refractive index medium and reasonable geometric parameters, the wavelength of sound wave can be compressed to improve the sound pressure. Employing fan blade faults as an object, Hilbert envelope spectrum analysis was used to demodulate fault characteristic information. Experimental results show that the acoustic metamaterial structure can enhance the signal significantly, providing high signal-to-noise ratio envelope spectrum for diagnosing fan blade faults. The study has demonstrated this acoustic metamaterial structure is an effective way to improve the applicability of acoustic measurement for condition monitoring.

KW - Acoustic enhancement

KW - Fan blade fault diagnosis

KW - Hilbert envelope spectrum analysis

KW - Metamaterial structure

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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_76

DO - 10.1007/978-3-031-26193-0_76

M3 - Conference contribution

AN - SCOPUS:85151162133

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 865

EP - 876

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 -

Tang W, Huang S, Deng R, Mba D, Gu F , Ball AD. A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis. 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. 865-876. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_76

A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis

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