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
UR - http://www.scopus.com/inward/record.url?scp=85151162133&partnerID=8YFLogxK
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 -
