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Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements

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Proceedings of IncoME-VI and TEPEN 2021

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 117))

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Abstract

Fault diagnosis in reciprocating compressor (RC) requires time-consuming feature-extraction processes due to the complexity of the compressor operation and fluid–solid interaction. This causes the useful information to be corrupted and difficulty in accurately diagnosing the faults with traditional methods. The aerodynamic phenomenon has a large impact on acoustics signal compared to the vibration. Thus, this paper presents analytical modelling of compressor sound highlighting the important sound sources and their generation. The additional contribution of this paper is the application of a state-of-the-art signal processing technique: Modulation Signal Bispectrum (MSB) which overcomes the challenges by showing good noise suppression capability and characterising the modulating components present in the signal, thereby resulting in stable modulation components for accurate diagnostics. The result reveals that the fault diagnosis based on airborne acoustics using MSB method outperformed the vibration-based method.

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Authors and Affiliations

  1. Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK

    Debanjan Mondal, Fengshou Gu & Andrew D. Ball

Authors
  1. Debanjan Mondal
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  2. Fengshou Gu
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  3. Andrew D. Ball
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Corresponding author

Correspondence to Fengshou Gu .

Editor information

Editors and Affiliations

  1. School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

    Hao Zhang

  2. School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

    Guojin Feng

  3. School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing, China

    Hongjun Wang

  4. University of Huddersfield, Huddersfield, UK

    Fengshou Gu

  5. University of Manchester, Manchester, UK

    Jyoti K. Sinha

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Mondal, D., Gu, F., Ball, A.D. (2023). Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements. In: Zhang, H., Feng, G., Wang, H., Gu, F., Sinha, J.K. (eds) Proceedings of IncoME-VI and TEPEN 2021. Mechanisms and Machine Science, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_50

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  • DOI: https://doi.org/10.1007/978-3-030-99075-6_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99074-9

  • Online ISBN: 978-3-030-99075-6

  • eBook Packages: EngineeringEngineering (R0)

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