A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location

Weijie Tang; Rongfeng Deng; Baoshan Huang; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-030-99075-6_69

A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location

Weijie Tang, Rongfeng Deng, Baoshan Huang, Fengshou Gu, Andrew D. Ball

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

1 Citation (Scopus)

Abstract

Pipes, like blood vessels, play an important role in industry and people's life. Once a pipeline leak occurs, it will bring huge economic losses and even cause serious accidents. Usually, pipeline leak monitoring is carried out by manual inspection or the installation of many sensors, which have great limitations. In this paper, an intelligent mobile robot is proposed for more effectively monitoring the large-scale pipeline systems. Equipped with microphone the robot can be set with the inspection paths, realize the monitoring of leakage anomaly by power spectrum and correlation analysis of sound signal according to the collected real-time data, and pinpoint the location of leakage by calculating the sound pressure. The experimental results show that this method is convenient and effective in a typical industrial environment.

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	853-866
Number of pages	14
Volume	117
ISBN (Electronic)	9783030990756
ISBN (Print)	9783030990749
DOIs	https://doi.org/10.1007/978-3-030-99075-6_69
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)

Access to Document

10.1007/978-3-030-99075-6_69Licence: Unspecified

Cite this

Tang, W., Deng, R., Huang, B., Gu, F., & Ball, A. D. (2022). A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. 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. 853-866). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_69

Tang, Weijie ; Deng, Rongfeng ; Huang, Baoshan et al. / A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. 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. 853-866 (Mechanisms and Machine Science).

@inproceedings{c0ac40c614e240f98cd52ba9ca29e991,

title = "A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location",

abstract = "Pipes, like blood vessels, play an important role in industry and people's life. Once a pipeline leak occurs, it will bring huge economic losses and even cause serious accidents. Usually, pipeline leak monitoring is carried out by manual inspection or the installation of many sensors, which have great limitations. In this paper, an intelligent mobile robot is proposed for more effectively monitoring the large-scale pipeline systems. Equipped with microphone the robot can be set with the inspection paths, realize the monitoring of leakage anomaly by power spectrum and correlation analysis of sound signal according to the collected real-time data, and pinpoint the location of leakage by calculating the sound pressure. The experimental results show that this method is convenient and effective in a typical industrial environment.",

keywords = "Condition monitoring robot, Correlation analysis, Pipeline leak, Sound pressure positioning",

author = "Weijie Tang and Rongfeng Deng and Baoshan Huang and Fengshou Gu and Ball, {Andrew D.}",

note = "Funding Information: Acknowledgements This work was supported by the School Scientific Research Fund Project of Beijing Institute of Technology, Zhuhai, under Grant No. XK-2018-29 and Innovating Major Training Projects of Beijing Institute of Technology, Zhuhai (XKCQ-2019-06). 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",

year = "2022",

month = sep,

day = "18",

doi = "10.1007/978-3-030-99075-6_69",

language = "English",

isbn = "9783030990749",

volume = "117",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "853--866",

editor = "Hao Zhang and Guojin Feng and Hongjun Wang and Fengshou Gu and Sinha, {Jyoti K.}",

booktitle = "Proceedings of IncoME-VI and TEPEN 2021",

address = "Switzerland",

url = "https://tepen.net/conference/tepen2021/",

}

Tang, W, Deng, R, Huang, B, Gu, F & Ball, AD 2022, A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. 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. 853-866, 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_69

A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. / Tang, Weijie; Deng, Rongfeng; Huang, Baoshan et al.

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. 853-866 (Mechanisms and Machine Science; Vol. 117).

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

TY - GEN

T1 - A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location

AU - Tang, Weijie

AU - Deng, Rongfeng

AU - Huang, Baoshan

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Conference code: 6

PY - 2022/9/18

Y1 - 2022/9/18

N2 - Pipes, like blood vessels, play an important role in industry and people's life. Once a pipeline leak occurs, it will bring huge economic losses and even cause serious accidents. Usually, pipeline leak monitoring is carried out by manual inspection or the installation of many sensors, which have great limitations. In this paper, an intelligent mobile robot is proposed for more effectively monitoring the large-scale pipeline systems. Equipped with microphone the robot can be set with the inspection paths, realize the monitoring of leakage anomaly by power spectrum and correlation analysis of sound signal according to the collected real-time data, and pinpoint the location of leakage by calculating the sound pressure. The experimental results show that this method is convenient and effective in a typical industrial environment.

AB - Pipes, like blood vessels, play an important role in industry and people's life. Once a pipeline leak occurs, it will bring huge economic losses and even cause serious accidents. Usually, pipeline leak monitoring is carried out by manual inspection or the installation of many sensors, which have great limitations. In this paper, an intelligent mobile robot is proposed for more effectively monitoring the large-scale pipeline systems. Equipped with microphone the robot can be set with the inspection paths, realize the monitoring of leakage anomaly by power spectrum and correlation analysis of sound signal according to the collected real-time data, and pinpoint the location of leakage by calculating the sound pressure. The experimental results show that this method is convenient and effective in a typical industrial environment.

KW - Condition monitoring robot

KW - Correlation analysis

KW - Pipeline leak

KW - Sound pressure positioning

UR - http://www.scopus.com/inward/record.url?scp=85138768898&partnerID=8YFLogxK

UR - https://link.springer.com/book/10.1007/978-3-030-99075-6

U2 - 10.1007/978-3-030-99075-6_69

DO - 10.1007/978-3-030-99075-6_69

M3 - Conference contribution

AN - SCOPUS:85138768898

SN - 9783030990749

VL - 117

T3 - Mechanisms and Machine Science

SP - 853

EP - 866

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 -

Tang W, Deng R, Huang B, Gu F , Ball AD. A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. 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. 853-866. (Mechanisms and Machine Science). Epub 2022 Sep 18. doi: 10.1007/978-3-030-99075-6_69

A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this