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

Debanjan Mondal; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-030-99075-6_50

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

Debanjan Mondal, Fengshou Gu, Andrew D. Ball

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

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.

Original language	English
Title of host publication	Proceedings of IncoME-VI and TEPEN 2021
Subtitle of host publication	Performance Engineering and Maintenance Engineering
Editors	Hao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
Publisher	Springer, Cham
Pages	615-628
Number of pages	14
Volume	117
ISBN (Electronic)	9783030990756
ISBN (Print)	9783030990749
DOIs	https://doi.org/10.1007/978-3-030-99075-6_50
Publication status	Published - 18 Sep 2022
Event	6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Hebei University of Technology, Tianjin, China Duration: 20 Oct 2021 → 23 Oct 2021 Conference number: 6 https://tepen.net/conference/tepen2021/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	117
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
Abbreviated title	TEPEN-2021 and IncoME-VI
Country/Territory	China
City	Tianjin
Period	20/10/21 → 23/10/21
Internet address	https://tepen.net/conference/tepen2021/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Mondal, D., Gu, F., & Ball, A. D. (2022). Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements. In H. Zhang, G. Feng, H. Wang, F. Gu, & J. K. Sinha (Eds.), Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering (Vol. 117, pp. 615-628). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_50

Mondal, Debanjan ; Gu, Fengshou ; Ball, Andrew D. / Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements. Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. editor / Hao Zhang ; Guojin Feng ; Hongjun Wang ; Fengshou Gu ; Jyoti K. Sinha. Vol. 117 Springer, Cham, 2022. pp. 615-628 (Mechanisms and Machine Science).

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title = "Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements",

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.",

keywords = "Fault diagnosis, MSB analysis, Reciprocating compressor, Sound source analysis, Vibro-acoustic analysis",

author = "Debanjan Mondal and Fengshou Gu and Ball, {Andrew D.}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021, TEPEN-2021 and IncoME-VI ; Conference date: 20-10-2021 Through 23-10-2021",

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Mondal, D , Gu, F & Ball, AD 2022, Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements. in H Zhang, G Feng, H Wang, F Gu & JK Sinha (eds), Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. vol. 117, Mechanisms and Machine Science, vol. 117, Springer, Cham, pp. 615-628, 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021, Tianjin, China, 20/10/21. https://doi.org/10.1007/978-3-030-99075-6_50

Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements. / Mondal, Debanjan ; Gu, Fengshou ; Ball, Andrew D.

Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. ed. / Hao Zhang; Guojin Feng; Hongjun Wang; Fengshou Gu; Jyoti K. Sinha. Vol. 117 Springer, Cham, 2022. p. 615-628 (Mechanisms and Machine Science; Vol. 117).

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

TY - GEN

T1 - Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements

AU - Mondal, Debanjan

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Conference code: 6

PY - 2022/9/18

Y1 - 2022/9/18

N2 - 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.

AB - 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.

KW - Fault diagnosis

KW - MSB analysis

KW - Reciprocating compressor

KW - Sound source analysis

KW - Vibro-acoustic analysis

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DO - 10.1007/978-3-030-99075-6_50

M3 - Conference contribution

AN - SCOPUS:85138792295

SN - 9783030990749

VL - 117

T3 - Mechanisms and Machine Science

SP - 615

EP - 628

BT - Proceedings of IncoME-VI and TEPEN 2021

A2 - Zhang, Hao

A2 - Feng, Guojin

A2 - Wang, Hongjun

A2 - Gu, Fengshou

A2 - Sinha, Jyoti K.

PB - Springer, Cham

T2 - 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021

Y2 - 20 October 2021 through 23 October 2021

ER -

Mondal D , Gu F , Ball AD. Condition Monitoring of a Reciprocating Air Compressor Using Vibro-Acoustic Measurements. In Zhang H, Feng G, Wang H, Gu F, Sinha JK, editors, Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. Vol. 117. Springer, Cham. 2022. p. 615-628. (Mechanisms and Machine Science). Epub 2022 Sep 18. doi: 10.1007/978-3-030-99075-6_50

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

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