Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System

Xiaoli Tang; Yu Jia; Guojin Feng; Yuandong Xu; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-030-99075-6_39

Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System

Xiaoli Tang, Yu Jia, Guojin Feng, Yuandong Xu, Fengshou Gu, Andrew D. Ball

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

1 Citation (Scopus)

Abstract

Piping systems are widely utilized in industry and home. Leakage of piping systems induced by prolonged corrosion, severe weather, or man-made damage will lead to serious consequences like explosion disasters, severe damage to industrial equipment, unforeseeable waste of resources and even threaten human life. WSNs significantly attract attentions in Industry 4.0 in recent years due to their advantages of wide distribution, remote controllability, convenient portability, easy programming, and economy. Meanwhile, as a non-intrusive measurement technique, vibration manifests a great potential for leakage detection of piping systems. In this paper, a vibration-based wireless sensing system is developed to remotely monitor the condition of piping systems in real time. According to the analytical results of vibration signals at two different positions on the piping system, the effective statistical features are extracted at the wireless sensor node to detect the leakage and its severity of the piping system. Furthermore, it can reduce the amount of data transmitted to reduce the power consumption then prolong the service life of the designed wireless sensing system. The diagnostic result can be conveniently observed on the mobile device in real time.

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	477-489
Number of pages	13
Volume	117
ISBN (Electronic)	9783030990756
ISBN (Print)	9783030990749
DOIs	https://doi.org/10.1007/978-3-030-99075-6_39
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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Cite this

Tang, X., Jia, Y., Feng, G., Xu, Y., Gu, F., & Ball, A. D. (2022). Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System. 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. 477-489). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_39

Tang, Xiaoli ; Jia, Yu ; Feng, Guojin et al. / Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System. 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. 477-489 (Mechanisms and Machine Science).

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title = "Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System",

abstract = "Piping systems are widely utilized in industry and home. Leakage of piping systems induced by prolonged corrosion, severe weather, or man-made damage will lead to serious consequences like explosion disasters, severe damage to industrial equipment, unforeseeable waste of resources and even threaten human life. WSNs significantly attract attentions in Industry 4.0 in recent years due to their advantages of wide distribution, remote controllability, convenient portability, easy programming, and economy. Meanwhile, as a non-intrusive measurement technique, vibration manifests a great potential for leakage detection of piping systems. In this paper, a vibration-based wireless sensing system is developed to remotely monitor the condition of piping systems in real time. According to the analytical results of vibration signals at two different positions on the piping system, the effective statistical features are extracted at the wireless sensor node to detect the leakage and its severity of the piping system. Furthermore, it can reduce the amount of data transmitted to reduce the power consumption then prolong the service life of the designed wireless sensing system. The diagnostic result can be conveniently observed on the mobile device in real time.",

keywords = "Condition monitoring, Leakage detection, Piping system, Wireless vibration sensing system",

author = "Xiaoli Tang and Yu Jia and Guojin Feng and Yuandong Xu 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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volume = "117",

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Tang, X, Jia, Y, Feng, G, Xu, Y, Gu, F & Ball, AD 2022, Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System. 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. 477-489, 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_39

Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System. / Tang, Xiaoli; Jia, Yu; Feng, Guojin 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. 477-489 (Mechanisms and Machine Science; Vol. 117).

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

TY - GEN

T1 - Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System

AU - Tang, Xiaoli

AU - Jia, Yu

AU - Feng, Guojin

AU - Xu, Yuandong

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Conference code: 6

PY - 2022/9/18

Y1 - 2022/9/18

N2 - Piping systems are widely utilized in industry and home. Leakage of piping systems induced by prolonged corrosion, severe weather, or man-made damage will lead to serious consequences like explosion disasters, severe damage to industrial equipment, unforeseeable waste of resources and even threaten human life. WSNs significantly attract attentions in Industry 4.0 in recent years due to their advantages of wide distribution, remote controllability, convenient portability, easy programming, and economy. Meanwhile, as a non-intrusive measurement technique, vibration manifests a great potential for leakage detection of piping systems. In this paper, a vibration-based wireless sensing system is developed to remotely monitor the condition of piping systems in real time. According to the analytical results of vibration signals at two different positions on the piping system, the effective statistical features are extracted at the wireless sensor node to detect the leakage and its severity of the piping system. Furthermore, it can reduce the amount of data transmitted to reduce the power consumption then prolong the service life of the designed wireless sensing system. The diagnostic result can be conveniently observed on the mobile device in real time.

AB - Piping systems are widely utilized in industry and home. Leakage of piping systems induced by prolonged corrosion, severe weather, or man-made damage will lead to serious consequences like explosion disasters, severe damage to industrial equipment, unforeseeable waste of resources and even threaten human life. WSNs significantly attract attentions in Industry 4.0 in recent years due to their advantages of wide distribution, remote controllability, convenient portability, easy programming, and economy. Meanwhile, as a non-intrusive measurement technique, vibration manifests a great potential for leakage detection of piping systems. In this paper, a vibration-based wireless sensing system is developed to remotely monitor the condition of piping systems in real time. According to the analytical results of vibration signals at two different positions on the piping system, the effective statistical features are extracted at the wireless sensor node to detect the leakage and its severity of the piping system. Furthermore, it can reduce the amount of data transmitted to reduce the power consumption then prolong the service life of the designed wireless sensing system. The diagnostic result can be conveniently observed on the mobile device in real time.

KW - Condition monitoring

KW - Leakage detection

KW - Piping system

KW - Wireless vibration sensing system

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

U2 - 10.1007/978-3-030-99075-6_39

DO - 10.1007/978-3-030-99075-6_39

M3 - Conference contribution

AN - SCOPUS:85138760583

SN - 9783030990749

VL - 117

T3 - Mechanisms and Machine Science

SP - 477

EP - 489

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 X, Jia Y, Feng G, Xu Y, Gu F , Ball AD. Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System. 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. 477-489. (Mechanisms and Machine Science). doi: 10.1007/978-3-030-99075-6_39

Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System

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