@inproceedings{e0d1f787aa2745b4b1c0850e24a6dafb,
title = "Leakage detection of natural gas pipeline based on an embedded system",
abstract = "Natural gas, which is treated as an alternative to the depleting supplies of oil, is widely used for fuel and electricity production. The use of natural gas in the world depends upon the thousands miles of natural gas pipeline networks that have been set up in few decades. The safe operation of these complex systems is of significant importance due to the intrinsic characteristics of hydrocarbons such as: toxicity, flammability and explosion velocity. In this work, a real-time leakage monitoring model of the long distance natural gas pipeline is proposed. And a leakage detection and localization mechanisms based on the above model were studied. In order to test the performance of the provided method, a networked data acquisition and analysis system was built. Through application to a practical system, it is verified that the proposed system is effective in gas leakage detection.",
keywords = "embedded system, leakage detection, natural gas",
author = "Baoying Zhu and Fenxi Yao and Senchun Chai",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 7th International Symposium on Computational Intelligence and Design, ISCID 2014 ; Conference date: 13-12-2014 Through 14-12-2014",
year = "2015",
month = mar,
day = "19",
doi = "10.1109/ISCID.2014.196",
language = "English",
series = "Proceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "289--292",
booktitle = "Proceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014",
address = "United States",
}