Detection Method of Nature Gas Pipeline Leakage Based on Pattern Recognition

Shuai Wang; Jian Jun Yu; Ming Qing Yan; Shu Ying Xiao

doi:10.4028/www.scientific.net/AMR.403-408.3144

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Detection Method of Nature Gas Pipeline Leakage...

Detection Method of Nature Gas Pipeline Leakage Based on Pattern Recognition

Abstract:

Natural gas pipeline network is one of the most important city lifeline. Because of the complex process of pipeline operation, there has not an authoritative and reliable way to detect leakage. Taking into account the current continuous progress of pipeline network simulation and mature of gas SCADA system, the fault of natural gas pipeline network can be diagnosed by pattern recognition method. The method takes full advantage of the existing detection technology and the actual condition of the pipe network. It is very useful for pipeline safety management and maintenance.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

3144-3148

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.3144

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Online since:

November 2011

Authors:

Shuai Wang, Jian Jun Yu, Ming Qing Yan, Shu Ying Xiao

Keywords:

Leakage Detection Methods, Nature Gas Pipeline, Pattern Recognition Method

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References

[1] Yan Ming-qing. Engineering Analysis of Gas Transportatio & Distribution Ｍ]. Beijing: Petroleum Industry Press, 2007: 245—255.

Google Scholar

[2] Xiao Wen-hui Liu Ya-bin Wang Si-cun. SCADA on Urban Gas Network [ J] Gas & Heat, 2003, 23( 1): 20- 22.

Google Scholar

[3] Xun Ji-xiang, Pattern Recognition[Ｍ]. Beijing: National Defence Industry Press, 2009. 11: 2.

Google Scholar

[4] Westhoff M A. Using Operating Data at Natural Gas Pipeline. Colorado Interstate Gas Company (US). (2004).

Google Scholar

[5] Wolvers M. Introduction to Prof. dr. ir. M. wolvers. WWW htm of University of Twente (Netherlands)(2002).

Google Scholar

[6] Zhang Hong-bing , Li Chang-jun , Peng Shan-bi, REAL-TIME MODEL METHOD FOR LEAKAGE DETECTION OF GAS TRANSMISSION PIPELINES [J]. Natural Gas Industry,. 2005; 25（10）: 103～105.

Google Scholar

[7] Li-jun. Gas Pipeline Leak Detection and Location Technology Based on Transient Simulation［D］. Tianjin Institute of Urban Construction: (2008).

Google Scholar

[8] Liang Jian-wen. On-line fault diagnosis of water distribution systems [J] Journal of Hydraulic Engineering, 2001. 12: 40-46.

Google Scholar

[9] Li Jun , Xu Yong-sheng, Yu Jian-junNew Technologies for Leakage Detection of Gas Pipeline [J]. Gas & Heat, 2007, 27(7): 56-59.

Google Scholar