Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85400
Title: Experimental Validation of Leak and Water-ingression Detection in Low-Pressure Gas Pipeline Using Pressure and Flow Measurements
Authors: Ravula, Sugunakar Reddy
Narasimman, Srivathsan Chakaravarthi
Wang, Libo
Ukil, Abhisek
Keywords: Gas pipeline
Condition monitoring
Issue Date: 2017
Source: Ravula, S. R., Narasimman, S. C., Wang, L., & Ukil, A. (2017). Experimental Validation of Leak and Water-ingression Detection in Low-Pressure Gas Pipeline Using Pressure and Flow Measurements. IEEE Sensors Journal, in press.
Series/Report no.: IEEE Sensors Journal
Abstract: In underground low-pressure gas distribution pipelines, ground water enters the pipeline through cracks. This is known as the water ingress problem, and it occurs predominantly in the monsoon season when the water table is high. This issue is currently detected based on complaints from the users. In order to arrive at an efficient and reliable processing technique, experimental results of pressure and flow on an existing low-pressure gas pipeline are reported in the present paper. Several experiments for leak location, severity of the leak, water ingression with various volumes of water followed by removal of water are conducted. Healthy network loading data collected over a 24 hr period is used to verify the robustness of the derived parameters for water ingression detection. The present technique can detect leaks easily with a leak valve opening of 30°. Robust detection of water ingression with more than 10% of pipe volume is possible.
URI: https://hdl.handle.net/10356/85400
http://hdl.handle.net/10220/43693
ISSN: 1530-437X
DOI: http://dx.doi.org/10.1109/JSEN.2017.2745577
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/JSEN.2017.2745577].
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:EEE Journal Articles
ERI@N Journal Articles

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