Centrifugal compressors play a crucial role in energy and power systems, and compressor surge significantly impact their safe operation. Monitoring typical surge inception characteristics in a compressor can effectively serve as an early warning indicator, thereby enhancing safety. This paper presents the results of an acoustic experiment conducted on a centrifugal compressor setup. Four microphones were positioned in front of the compressor inlet to record the noise emitted as the compressor entered its surge region from a near-surge state. An entropy-based method is proposed to extract surge inception from acoustic signals by evaluating the informational complexity. Four types of entropy, including approximate entropy, sampling entropy, fuzzy entropy, and information entropy, were calculated from the acoustic signals. Their time-domain curves exhibit a clear increasing trend prior to surge inception. Further analysis reveals differing growth rates of the entropy curves among the four microphones, confirming the impact of microphone position on the capture of flow information and, consequently, on surge warning accuracy. Eventually, an entropy-weight method is proposed to eliminate the effects of positions and enhance surge warning capabilities by accounting for multiple acoustic signals.
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January 2025
Research Article|
January 13 2025
An entropy-based assessment of acoustic information confusion at unstable flow occurrence in a centrifugal compressor
Ben Zhao (赵奔)
;
Ben Zhao (赵奔)
(Conceptualization, Funding acquisition, Investigation, Writing – original draft, Writing – review & editing)
1
School of Energy Power and Mechanical Engineering, North China Electric University
, Beijing 102206, China
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Xiaoyang Wu (吴晓阳)
;
Xiaoyang Wu (吴晓阳)
(Investigation, Methodology, Writing – original draft)
1
School of Energy Power and Mechanical Engineering, North China Electric University
, Beijing 102206, China
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Qianyu Lu (陆倩钰)
;
Qianyu Lu (陆倩钰)
(Investigation, Methodology)
1
School of Energy Power and Mechanical Engineering, North China Electric University
, Beijing 102206, China
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Teng Zhou (周腾)
;
Teng Zhou (周腾)
(Methodology, Validation)
2
School of Engineering, University of Southampton
, SO17 1BJ, Southampton, United Kingdom
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Chen Huang (黄晨)
Chen Huang (黄晨)
a)
(Data curation, Software, Supervision)
1
School of Energy Power and Mechanical Engineering, North China Electric University
, Beijing 102206, China
a)Author to whom correspondence should be addressed: [email protected]
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a)Author to whom correspondence should be addressed: [email protected]
Physics of Fluids 37, 016126 (2025)
Article history
Received:
November 12 2024
Accepted:
December 20 2024
Citation
Ben Zhao, Xiaoyang Wu, Qianyu Lu, Teng Zhou, Chen Huang; An entropy-based assessment of acoustic information confusion at unstable flow occurrence in a centrifugal compressor. Physics of Fluids 1 January 2025; 37 (1): 016126. https://doi.org/10.1063/5.0248602
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Referee acknowledgment for 2024
Alan Jeffrey Giacomin
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Crystal E. Owens, Max R. Fan (范瑞), et al.
Chinese Academy of Science Journal Ranking System (2015–2023)
Cruz Y. Li (李雨桐), 李雨桐, et al.
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