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 proceedingConference contributionpeer-review

1 Citation (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 languageEnglish
Title of host publicationProceedings of TEPEN 2022
Subtitle of host publicationEfficiency and Performance Engineering Network
EditorsHao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
PublisherSpringer, Cham
Pages865-876
Number of pages12
Volume129
ISBN (Electronic)9783031261930
ISBN (Print)9783031261923, 9783031261954
DOIs
Publication statusPublished - 4 Mar 2023
EventInternational Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China
Duration: 18 Aug 202221 Aug 2022
https://tepen.net/
https://tepen.net/conference/tepen2022/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume129 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceInternational Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated titleTEPEN 2022
Country/TerritoryChina
CityBaotou
Period18/08/2221/08/22
Internet address

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